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Best of Numberphile2 (our extras channel) | 2,193,118 | 44,387 | 2,384 | 8 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Best of Numberphile2 (our extras channel): | Views: 2193118.0, Likes: 44387.0, Comments: 2384.0, Videos: 8.0 |
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Hyperbolic Geometry on Numberphile | 1,117,237 | 21,543 | 1,838 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Hyperbolic Geometry on Numberphile: | Views: 1117237.0, Likes: 21543.0, Comments: 1838.0, Videos: 5.0 |
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Persi Diaconis on Numberphile | 5,117,966 | 92,359 | 4,647 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Persi Diaconis on Numberphile: | Views: 5117966.0, Likes: 92359.0, Comments: 4647.0, Videos: 9.0 |
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Cards and Shuffling on Numberphile | 8,922,517 | 173,481 | 9,584 | 20 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Cards and Shuffling on Numberphile: | Views: 8922517.0, Likes: 173481.0, Comments: 9584.0, Videos: 20.0 |
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Director's Cut on Numberphile | The Mathematical Sciences Research Institute's director, Professor David Eisenbud, picked some of his favourite videos. | 33,268,979 | 648,390 | 36,089 | 23 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Director's Cut on Numberphile: The Mathematical Sciences Research Institute's director, Professor David Eisenbud, picked some of his favourite videos. | Views: 33268979.0, Likes: 648390.0, Comments: 36089.0, Videos: 23.0 |
Golden Trilogy (all four parts) on Numberphile | 2,243,195 | 34,663 | 2,071 | 4 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Golden Trilogy (all four parts) on Numberphile: | Views: 2243195.0, Likes: 34663.0, Comments: 2071.0, Videos: 4.0 |
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Graham's Number on Numberphile | 6,478,735 | 108,467 | 14,685 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Graham's Number on Numberphile: | Views: 6478735.0, Likes: 108467.0, Comments: 14685.0, Videos: 5.0 |
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Monty Hall Problem on Numberphile | 5,443,837 | 84,531 | 25,752 | 4 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Monty Hall Problem on Numberphile: | Views: 5443837.0, Likes: 84531.0, Comments: 25752.0, Videos: 4.0 |
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Animations by Pete McPartlan | A selection of videos featuring animations by Pete --- http://www.petemcpartlan.co.uk/ | 31,300,067 | 574,856 | 61,334 | 26 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Animations by Pete McPartlan: A selection of videos featuring animations by Pete --- http://www.petemcpartlan.co.uk/ | Views: 31300067.0, Likes: 574856.0, Comments: 61334.0, Videos: 26.0 |
Matt Parker (standupmaths) on Numberphile | Videos featuring Matt Parker --- http://standupmaths.com/ | 60,596,755 | 1,241,888 | 119,119 | 66 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Matt Parker (standupmaths) on Numberphile: Videos featuring Matt Parker --- http://standupmaths.com/ | Views: 60596755.0, Likes: 1241888.0, Comments: 119119.0, Videos: 66.0 |
-1/12 | Numberphile videos about -1/12 | 21,545,405 | 326,338 | 34,774 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | -1/12: Numberphile videos about -1/12 | Views: 21545405.0, Likes: 326338.0, Comments: 34774.0, Videos: 7.0 |
John Conway on Numberphile | The legendary John Conway | 4,220,362 | 100,487 | 4,657 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | John Conway on Numberphile: The legendary John Conway | Views: 4220362.0, Likes: 100487.0, Comments: 4657.0, Videos: 7.0 |
Calculator Unboxings on Numberphile | It had to be done. | 4,122,003 | 103,800 | 12,461 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Calculator Unboxings on Numberphile: It had to be done. | Views: 4122003.0, Likes: 103800.0, Comments: 12461.0, Videos: 9.0 |
James Grime on Numberphile | Just some of the Numberphile videos featuring Dr James Grime --- http://singingbanana.com/ | 129,479,558 | 2,175,804 | 226,072 | 85 | null | null | null | null | null | null | null | Provide a summary for the following playlist | James Grime on Numberphile: Just some of the Numberphile videos featuring Dr James Grime --- http://singingbanana.com/ | Views: 129479558.0, Likes: 2175804.0, Comments: 226072.0, Videos: 85.0 |
Simon Singh on Numberphile | Numberphile videos featuring Simon Singh --- | 6,698,758 | 115,834 | 7,128 | 8 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Simon Singh on Numberphile: Numberphile videos featuring Simon Singh --- | Views: 6698758.0, Likes: 115834.0, Comments: 7128.0, Videos: 8.0 |
Numberphile Videos | 273,049,210 | 8,135,359 | 861,958 | 151 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Numberphile Videos: | Views: 273049210.0, Likes: 8135359.0, Comments: 861958.0, Videos: 151.0 |
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Favorites | 45,569,958 | 709,410 | 73,998 | 114 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Favorites: | Views: 45569958.0, Likes: 709410.0, Comments: 73998.0, Videos: 114.0 |
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Rubik's Cube on Numberphile | Rubik's Cube Videos from Numberphile | 4,317,972 | 50,353 | 6,326 | 6 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Rubik's Cube on Numberphile: Rubik's Cube Videos from Numberphile | Views: 4317972.0, Likes: 50353.0, Comments: 6326.0, Videos: 6.0 |
Yahtzee on Numberphile | Numberphile's collection of Yahtzee videos, including viewer-rolled Yahtzees. | 1,715,496 | 27,857 | 4,775 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Yahtzee on Numberphile: Numberphile's collection of Yahtzee videos, including viewer-rolled Yahtzees. | Views: 1715496.0, Likes: 27857.0, Comments: 4775.0, Videos: 7.0 |
Pi on Numberphile | Numberphile videos about the most famous ratio of all - Pi. | 22,860,699 | 395,587 | 43,544 | 23 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Pi on Numberphile: Numberphile videos about the most famous ratio of all - Pi. | Views: 22860699.0, Likes: 395587.0, Comments: 43544.0, Videos: 23.0 |
From Sixty Symbols | Some of our favourite videos from sister channel Sixty Symbols | 2,125,650 | 26,147 | 3,029 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | From Sixty Symbols: Some of our favourite videos from sister channel Sixty Symbols | Views: 2125650.0, Likes: 26147.0, Comments: 3029.0, Videos: 7.0 |
Prime Numbers on Numberphile | Some of our videos featuring prime numbers | 43,864,283 | 877,451 | 67,970 | 48 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Prime Numbers on Numberphile: Some of our videos featuring prime numbers | Views: 43864283.0, Likes: 877451.0, Comments: 67970.0, Videos: 48.0 |
Bridges | 13,736,000 | 438,357 | 23,673 | 10 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Bridges: | Views: 13736000.0, Likes: 438357.0, Comments: 23673.0, Videos: 10.0 |
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Practical Construction | My series of on-location videos about the construction industry. | 3,284,227 | 207,821 | 8,684 | 6 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Practical Construction: My series of on-location videos about the construction industry. | Views: 3284227.0, Likes: 207821.0, Comments: 8684.0, Videos: 6.0 |
Construction | Construction-related videos | 10,084,117 | 374,706 | 14,390 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Construction: Construction-related videos | Views: 10084117.0, Likes: 374706.0, Comments: 14390.0, Videos: 9.0 |
Railway Engineering | 13,553,426 | 459,688 | 17,465 | 8 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Railway Engineering: | Views: 13553426.0, Likes: 459688.0, Comments: 17465.0, Videos: 8.0 |
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Corrosion | 7,047,806 | 198,047 | 5,940 | 3 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Corrosion: | Views: 7047806.0, Likes: 198047.0, Comments: 5940.0, Videos: 3.0 |
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Groundwater | 19,235,812 | 246,253 | 5,900 | 3 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Groundwater: | Views: 19235812.0, Likes: 246253.0, Comments: 5900.0, Videos: 3.0 |
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Wastewater Management | Sewers and sewage | 11,742,594 | 441,236 | 17,519 | 10 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Wastewater Management: Sewers and sewage | Views: 11742594.0, Likes: 441236.0, Comments: 17519.0, Videos: 10.0 |
Dams | 19,088,005 | 481,300 | 17,170 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Dams: | Views: 19088005.0, Likes: 481300.0, Comments: 17170.0, Videos: 7.0 |
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Cranes | 4,317,076 | 120,398 | 5,039 | 2 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Cranes: | Views: 4317076.0, Likes: 120398.0, Comments: 5039.0, Videos: 2.0 |
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What Really Happened? | Journalistic topics and current events | 60,593,381 | 1,692,651 | 100,083 | 25 | null | null | null | null | null | null | null | Provide a summary for the following playlist | What Really Happened?: Journalistic topics and current events | Views: 60593381.0, Likes: 1692651.0, Comments: 100083.0, Videos: 25.0 |
Flow in Pipes | All my videos about the flow of fluids in pipes. | 70,002,574 | 1,600,009 | 46,651 | 21 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Flow in Pipes: All my videos about the flow of fluids in pipes. | Views: 70002574.0, Likes: 1600009.0, Comments: 46651.0, Videos: 21.0 |
Flooding | Videos about different aspects of flooding and how engineers manage it. | 40,407,517 | 1,136,989 | 43,506 | 20 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Flooding: Videos about different aspects of flooding and how engineers manage it. | Views: 40407517.0, Likes: 1136989.0, Comments: 43506.0, Videos: 20.0 |
Livestreams | 16,776 | 1,260 | 29 | 1 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Livestreams: | Views: 16776.0, Likes: 1260.0, Comments: 29.0, Videos: 1.0 |
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Roadways | All my videos about roadways in one place. | 54,296,513 | 1,344,811 | 45,275 | 20 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Roadways: All my videos about roadways in one place. | Views: 54296513.0, Likes: 1344811.0, Comments: 45275.0, Videos: 20.0 |
Electrical Grid | All my videos on the electrical grid and power generation, transmission, and distribution. | 44,981,330 | 1,229,055 | 67,606 | 18 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Electrical Grid: All my videos on the electrical grid and power generation, transmission, and distribution. | Views: 44981330.0, Likes: 1229055.0, Comments: 67606.0, Videos: 18.0 |
Soil Mechanics | All my videos about soils in one place. | 86,529,153 | 1,830,850 | 55,752 | 23 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Soil Mechanics: All my videos about soils in one place. | Views: 86529153.0, Likes: 1830850.0, Comments: 55752.0, Videos: 23.0 |
Introduction to Practical Engineering | A few of my most popular videos to give you an introduction to the channel. | 44,677,059 | 1,205,673 | 38,839 | 16 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Introduction to Practical Engineering: A few of my most popular videos to give you an introduction to the channel. | Views: 44677059.0, Likes: 1205673.0, Comments: 38839.0, Videos: 16.0 |
Hydraulics | All my videos about the movement of fluids in one place. | 145,281,745 | 3,215,187 | 98,464 | 44 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Hydraulics: All my videos about the movement of fluids in one place. | Views: 145281745.0, Likes: 3215187.0, Comments: 98464.0, Videos: 44.0 |
Public Works: Season 1 | My video series on infrastructure and the humanmade world around us. | 12,657,501 | 279,989 | 9,384 | 3 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Public Works: Season 1: My video series on infrastructure and the humanmade world around us. | Views: 12657501.0, Likes: 279989.0, Comments: 9384.0, Videos: 3.0 |
Concrete Series | All my videos about concrete in one place. | 27,222,822 | 688,684 | 24,699 | 8 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Concrete Series: All my videos about concrete in one place. | Views: 27222822.0, Likes: 688684.0, Comments: 24699.0, Videos: 8.0 |
What's that Infrastructure? | 13,616,114 | 618,068 | 9,743 | 22 | null | null | null | null | null | null | null | Provide a summary for the following playlist | What's that Infrastructure?: | Views: 13616114.0, Likes: 618068.0, Comments: 9743.0, Videos: 22.0 |
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Mechanical Engineering | 42,395,145 | 1,113,074 | 36,532 | 21 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Mechanical Engineering: | Views: 42395145.0, Likes: 1113074.0, Comments: 36532.0, Videos: 21.0 |
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Aerospace Engineering | 4,636,469 | 171,546 | 8,693 | 8 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Aerospace Engineering: | Views: 4636469.0, Likes: 171546.0, Comments: 8693.0, Videos: 8.0 |
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Civil Engineering | 301,415,531 | 7,477,770 | 274,993 | 117 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Civil Engineering: | Views: 301415531.0, Likes: 7477770.0, Comments: 274993.0, Videos: 117.0 |
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Electrical Engineering | All my videos that include electronics are listed here. They are not necessarily about Electrical Engineering. | 50,881,084 | 1,377,850 | 72,677 | 26 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Electrical Engineering: All my videos that include electronics are listed here. They are not necessarily about Electrical Engineering. | Views: 50881084.0, Likes: 1377850.0, Comments: 72677.0, Videos: 26.0 |
Woodworking Projects | My YouTube career started off with woodworking. Most of these are older videos before Practical Engineering was even a thing. | 3,589,251 | 74,734 | 3,287 | 19 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Woodworking Projects: My YouTube career started off with woodworking. Most of these are older videos before Practical Engineering was even a thing. | Views: 3589251.0, Likes: 74734.0, Comments: 3287.0, Videos: 19.0 |
Favorites | 6,592,884 | 201,056 | 7,988 | 4 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Favorites: | Views: 6592884.0, Likes: 201056.0, Comments: 7988.0, Videos: 4.0 |
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Human Stories in AI | Human Stories in AI with StatQuest and Lighting AI is about the career journeys of passionate AI experts. From their humble beginnings to conquered challenges, we'll be inspired by the real-world experiences of professionals thriving in the ever-evolving AI landscape. | 49,308 | 972 | 197 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Human Stories in AI: Human Stories in AI with StatQuest and Lighting AI is about the career journeys of passionate AI experts. From their humble beginnings to conquered challenges, we'll be inspired by the real-world experiences of professionals thriving in the ever-evolving AI landscape. | Views: 49308.0, Likes: 972.0, Comments: 197.0, Videos: 9.0 |
The AI Buzz with Luca and Josh | AI is moving fast, but no worries, The AI Buzz makes it easy to keep up! Luca Antiga, the Chief Technology Officer at Lightning AI, and Josh Starmer, host of the YouTube channel StatQuest with Josh Starmer and a Lead AI Educator at Lightning AI, talk about the latest trends in AI why it has the potential to change everything. | 51,371 | 1,053 | 136 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | The AI Buzz with Luca and Josh: AI is moving fast, but no worries, The AI Buzz makes it easy to keep up! Luca Antiga, the Chief Technology Officer at Lightning AI, and Josh Starmer, host of the YouTube channel StatQuest with Josh Starmer and a Lead AI Educator at Lightning AI, talk about the latest trends in AI why it has the potential to change everything. | Views: 51371.0, Likes: 1053.0, Comments: 136.0, Videos: 5.0 |
The StatQuest Musical Dictionary | 237,070 | 10,911 | 460 | 13 | null | null | null | null | null | null | null | Provide a summary for the following playlist | The StatQuest Musical Dictionary: | Views: 237070.0, Likes: 10911.0, Comments: 460.0, Videos: 13.0 |
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The AI Buzz with Luca and Josh | 51,371 | 1,053 | 136 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | The AI Buzz with Luca and Josh: | Views: 51371.0, Likes: 1053.0, Comments: 136.0, Videos: 5.0 |
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#66DaysOfData | If you want to participate in Ken Jee's #66DaysOfData and are having trouble thinking of new stuff to learn, here's a playlist that covers everything from the basics to the fancy stuff. | 44,705,620 | 951,463 | 55,491 | 74 | null | null | null | null | null | null | null | Provide a summary for the following playlist | #66DaysOfData: If you want to participate in Ken Jee's #66DaysOfData and are having trouble thinking of new stuff to learn, here's a playlist that covers everything from the basics to the fancy stuff. | Views: 44705620.0, Likes: 951463.0, Comments: 55491.0, Videos: 74.0 |
Neural Networks / Deep Learning | This playlist has everything you need to know about Neural Networks, from the basics to the state of the art with Transformers, the foundation of ChatGPT. | 7,714,681 | 193,139 | 14,672 | 28 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Neural Networks / Deep Learning: This playlist has everything you need to know about Neural Networks, from the basics to the state of the art with Transformers, the foundation of ChatGPT. | Views: 7714681.0, Likes: 193139.0, Comments: 14672.0, Videos: 28.0 |
XGBoost | 1,274,939 | 22,017 | 2,428 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | XGBoost: | Views: 1274939.0, Likes: 22017.0, Comments: 2428.0, Videos: 5.0 |
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Support Vector Machines | 2,066,493 | 49,603 | 3,481 | 4 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Support Vector Machines: | Views: 2066493.0, Likes: 49603.0, Comments: 3481.0, Videos: 4.0 |
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Gradient Boost | 1,455,777 | 26,052 | 2,793 | 4 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Gradient Boost: | Views: 1455777.0, Likes: 26052.0, Comments: 2793.0, Videos: 4.0 |
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CART - Classification And Regression Trees | 1,897,538 | 41,502 | 3,269 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | CART - Classification And Regression Trees: | Views: 1897538.0, Likes: 41502.0, Comments: 3269.0, Videos: 5.0 |
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Random Forests | 1,518,235 | 27,257 | 2,150 | 3 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Random Forests: | Views: 1518235.0, Likes: 27257.0, Comments: 2150.0, Videos: 3.0 |
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Logistic Regression | These videos pick up where Linear Regression and Linear Models leave off. Now, instead of predicting something continuous, like age, we can predict something discrete, like whether or not someone will enjoy the movie Troll 2. | 4,472,316 | 75,090 | 4,024 | 7 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Logistic Regression: These videos pick up where Linear Regression and Linear Models leave off. Now, instead of predicting something continuous, like age, we can predict something discrete, like whether or not someone will enjoy the movie Troll 2. | Views: 4472316.0, Likes: 75090.0, Comments: 4024.0, Videos: 7.0 |
Statistics and Machine Learning in R | If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it. | 1,816,271 | 30,297 | 2,597 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Statistics and Machine Learning in R: If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it. | Views: 1816271.0, Likes: 30297.0, Comments: 2597.0, Videos: 9.0 |
High Throughput Sequencing | If you do high-throughput sequence analysis, this playlist is for you! | 11,991,020 | 227,967 | 14,012 | 26 | null | null | null | null | null | null | null | Provide a summary for the following playlist | High Throughput Sequencing: If you do high-throughput sequence analysis, this playlist is for you! | Views: 11991020.0, Likes: 227967.0, Comments: 14012.0, Videos: 26.0 |
Machine Learning | Machine Learning covers a lot of topics and this can be intimidating. However, there is no reason to fear, this play list will help you trough it all, one step at a time. | 44,877,717 | 963,395 | 64,583 | 98 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Machine Learning: Machine Learning covers a lot of topics and this can be intimidating. However, there is no reason to fear, this play list will help you trough it all, one step at a time. | Views: 44877717.0, Likes: 963395.0, Comments: 64583.0, Videos: 98.0 |
Statistics Fundamentals | These videos give you a general overview of statistics as well as a be a reference for statistical concepts. | 21,109,519 | 454,799 | 25,324 | 60 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Statistics Fundamentals: These videos give you a general overview of statistics as well as a be a reference for statistical concepts. | Views: 21109519.0, Likes: 454799.0, Comments: 25324.0, Videos: 60.0 |
Linear Regression and Linear Models | These videos teach the basics relating to one of statistics most powerful tools. Linear Regression and Linear Models allow us to use continuous values, like weight or height, and categorical values, like favorite color or favorite movie, to predict a continuous value, like age. | 4,115,047 | 69,270 | 4,258 | 9 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Linear Regression and Linear Models: These videos teach the basics relating to one of statistics most powerful tools. Linear Regression and Linear Models allow us to use continuous values, like weight or height, and categorical values, like favorite color or favorite movie, to predict a continuous value, like age. | Views: 4115047.0, Likes: 69270.0, Comments: 4258.0, Videos: 9.0 |
Original Songs | 124,939 | 3,601 | 750 | 33 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Original Songs: | Views: 124939.0, Likes: 3601.0, Comments: 750.0, Videos: 33.0 |
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Recipes From My Kitchen | 79,296 | 1,005 | 210 | 5 | null | null | null | null | null | null | null | Provide a summary for the following playlist | Recipes From My Kitchen: | Views: 79296.0, Likes: 1005.0, Comments: 210.0, Videos: 5.0 |
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StatQuest | 62,563,985 | 1,343,849 | 85,224 | 164 | null | null | null | null | null | null | null | Provide a summary for the following playlist | StatQuest: | Views: 62563985.0, Likes: 1343849.0, Comments: 85224.0, Videos: 164.0 |
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null | null | null | null | null | Happy Halloween (Neural Networks Are Not Scary) | 2022-10-31 | I hope everyone has a happy Halloween today! My hope is that even though Neural Networks are not scary, people will still dress up in Neural Network costumes today. BAM!!!
NOTE: This little ditty was original composed for Kate Strachnyi's channel, https://www.youtube.com/c/DATAcated , as part of her "Data is not Scary" promotion for the month of October.
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
#StatQuest | 203,370 | 2,538 | 105 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The Essential Main Ideas of Neural Networks | 2020-08-31 | Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:01 A simple dataset and problem
3:37 Description of Neural Networks
7:54 Creating a squiggle from curved lines
15:25 Using the Neural Network to make a prediction
16:38 Some more Neural Network terminology
#StatQuest #NeuralNetworks #DubbedWithAloud | 904,590 | 24,705 | 1,989 | AUieDaYh_xyQwSapA7D9RgO90Oj3G_XRXpLjPJvIdbdUfnn0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The Chain Rule | 2020-07-13 | The Chain Rule is a method for finding complex derivatives and is used all the time in Statistics and Machine Learning. This video breaks it down into its two simple pieces and shows you how they easily come together. We then use the Chain Rule to solve a common Machine Learning problem - optimizing the Residual Squared Loss Function.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:02 A super simple example
6:32 A slightly more complicated example
9:16 The Chain Rule when the relationship is not obvious
11:47 The Chain Rule for the Residual Sum of Squares
Corrections:
13:05 When the residual is negative, the pink circle should be on the left side of the y-axis. And when the residual is positive, the pink circle should be on the right side.
#StatQuest #TheChainRule #DubbedWithAloud | 242,540 | 6,428 | 450 | AUieDaZ1IlfR8cu1azzP_POSB90EZDkCvvveAVvuloLG0-ipwV0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Gradient Descent, Step-by-Step | 2019-02-05 | Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training dataset, you're probably using Gradient Descent. It can optimize parameters in a wide variety of settings. Since it's so fundamental to Machine Learning, I decided to make a "step-by-step" video that shows you exactly how it works.
NOTE: This video assumes you are already familiar with Least Squares and Linear Regression. If not, here's the link to the Quest: https://youtu.be/PaFPbb66DxQ
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
Sources:
There are a ton of websites that describe the math behind Gradient Descent. One of my favorite is the wikipedia article: https://en.wikipedia.org/wiki/Gradient_descent
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:25 Main ideas behind Gradient Descent
5:38 Gradient Descent optimization of a single variable, part 1
9:08 An important note about why we use Gradient Descent
9:40 Gradient Descent optimization of a single variable, part 2
14:48 Review of concepts covered so far
15:48 Gradient Descent optimization of two (or more) variables
21:55 A note about Loss Functions
22:13 Gradient Descent algorithm
23:06 Stochastic Gradient Descent
#statquest #gradient #descent #ML | 1,313,310 | 33,004 | 2,674 | AUieDaZg-0mglp9LtLiKUjl6esbpobIvfYAS_6cyxVKfj_0U | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Pt. 2: Backpropagation Main Ideas | 2020-10-19 | Backpropagation is the method we use to optimize parameters in a Neural Network. The ideas behind backpropagation are quite simple, but there are tons of details. This StatQuest focuses on explaining the main ideas in a way that is easy to understand.
NOTE: This StatQuest assumes that you already know the main ideas behind...
Neural Networks: https://youtu.be/CqOfi41LfDw
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
LAST NOTE: When I was researching this 'Quest, I found this page by Sebastian Raschka to be helpful: https://sebastianraschka.com/faq/docs/backprop-arbitrary.html
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
3:55 Fitting the Neural Network to the data
6:04 The Sum of the Squared Residuals
7:23 Testing different values for a parameter
8:38 Using the Chain Rule to calculate a derivative
13:28 Using Gradient Descent
16:05 Summary
#StatQuest #NeuralNetworks #Backpropagation | 498,111 | 10,278 | 531 | AUieDab8gsLb0CodH8GqaV8F5JsXDHfIKbcqCNDnGm63 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously. | 2020-11-02 | The main ideas behind Backpropagation are super simple, but there are tons of details when it comes time to implementing it. This video shows how to optimize three parameters in a Neural Network simultaneously and introduces some Fancy Notation.
NOTE: This StatQuest assumes that you already know the main ideas behind Backpropagation: https://youtu.be/IN2XmBhILt4
...and that also means you should be familiar with...
Neural Networks: https://youtu.be/CqOfi41LfDw
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
LAST NOTE: When I was researching this 'Quest, I found this page by Sebastian Raschka to be helpful: https://sebastianraschka.com/faq/docs/backprop-arbitrary.html
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
3:01 Derivatives do not change when we optimize multiple parameters
6:28 Fancy Notation
10:51 Derivatives with respect to two different weights
15:02 Gradient Descent for three parameters
17:19 Fancy Gradient Descent Animation
#StatQuest #NeuralNetworks #Backpropagation | 193,727 | 4,487 | 270 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Backpropagation Details Pt. 2: Going bonkers with The Chain Rule | 2020-11-02 | This StatQuest picks up right here Part 1 left off, and this time we're going to go totally bonkers with The Chain Rule and optimize every single parameter in this simple Neural Network. BAM!!!
NOTE: This StatQuest assumes that you already know the main ideas behind Backpropagation: https://youtu.be/IN2XmBhILt4
...and that also means you should be familiar with...
Neural Networks: https://youtu.be/CqOfi41LfDw
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
LAST NOTE: When I was researching this 'Quest, I found this page by Sebastian Raschka to be helpful: https://sebastianraschka.com/faq/docs/backprop-arbitrary.html
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:28 The derivative of the weight W1
5:58 The derivative of the bias b1
7:39 The derivatives of W2 and b2
9:21 Gradient Descent for all parameters
11:18 Fancy Gradient Descent Animation
#StatQuest #NeuralNetworks #Backpropagation | 124,711 | 3,839 | 478 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Pt. 3: ReLU In Action!!! | 2020-11-23 | The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural Networks. However, the function itself is deceptively simple. This StatQuest walks you through an example, step-by-step, that uses the ReLU activation function so you can see exactly what it does and how it works.
NOTE: This StatQuest assumes that you are already familiar with the main ideas behind Neural Networks. If not, check out the 'Quest: https://youtu.be/CqOfi41LfDw
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:45 ReLU in the Hidden Layer
5:35 ReLU right before the Output
7:38 The derivative of ReLU
#StatQuest #NeuralNetworks #ReLU | 253,972 | 5,772 | 300 | AUieDaamMynczhahTuimflvVlqFYRkpwDrilBTpAwW0N | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Pt. 4: Multiple Inputs and Outputs | 2021-02-01 | So far, this series has explained how very simple Neural Networks, with only 1 input and 1 output, function. This video shows how these exact same concepts generalize to multiple inputs and outputs and provides a context within we can discuss SoftMax and ArgMax for modifying the output data.
NOTE: This StatQuest assumes you already know...
The main ideas behind Neural Networks: https://youtu.be/CqOfi41LfDw
The ReLU Activation Function: https://youtu.be/68BZ5f7P94E
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:07 Multiple inputs and outputs
3:57 The blue bent surface for Setosa
6:28 The orange bent surface for Setosa
6:52 The green crinkled surface for Setosa
8:42 Predicting Setosa
9:42 Versicolor
11:11 Virginica
#StatQuest #NeuralNetworks | 160,877 | 4,079 | 262 | AUieDaYruRFyJo-z7I6WtYuY2_LjL49xvsykO-a3gN4N3ZRIbWQ | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Part 5: ArgMax and SoftMax | 2021-02-08 | When your Neural Network has more than one output, then it is very common to train with SoftMax and, once trained, swap SoftMax out for ArgMax. This video give you all the details on these two methods so that you'll know when and why to use ArgMax or SoftMax.
NOTE: This StatQuest assumes that you already understand:
The main ideas behind Neural Networks: https://youtu.be/CqOfi41LfDw
How Neural Networks work with multiple inputs and outputs: https://youtu.be/83LYR-1IcjA
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:02 ArgMax
4:21 SoftMax
6:36 SoftMax properties
9:31 SoftMax general equation
10:20 SoftMax derivatives
#StatQuest #NeuralNetworks #ArgMax #SoftMax | 151,094 | 4,169 | 229 | AUieDaZvuEwOD0DfZKuh2dll3ZIABoaCs96D5nyHtqHwb8UlUGs | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The SoftMax Derivative, Step-by-Step!!! | 2021-02-08 | Here's step-by-step guide that shows you how to take the derivatives of the SoftMax function, as used as a final output layer in a Neural Networks.
NOTE: This StatQuest assumes that you already understand the main ideas behind SoftMax. If not, check out the 'Quest: https://youtu.be/KpKog-L9veg
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
0:57 SoftMax derivative with respect to the output of interest
3:58 SoftMax derivative with respect to other outputs
#StatQuest #NeuralNetworks #SoftMax | 73,819 | 1,704 | 91 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Part 6: Cross Entropy | 2021-03-01 | When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest gives you and overview of how to calculate Cross Entropy and Total Cross Entropy.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: https://youtu.be/CqOfi41LfDw
The main ideas behind backpropagation: https://youtu.be/IN2XmBhILt4
Neural networks with multiple inputs and outputs: https://youtu.be/83LYR-1IcjA
ArgMax and SoftMax: https://youtu.be/KpKog-L9veg
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:48 Cross Entropy defined
2:50 General equation for Cross Entropy
4:11 Calculating Total Cross Entropy
5:41 Why Cross Entropy and not SSR?
#StatQuest #NeuralNetworks #CrossEntropy | 229,720 | 5,912 | 258 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation | 2021-03-01 | Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then shows you how to use that derivative for Backpropagation.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: https://youtu.be/CqOfi41LfDw
The main ideas behind backpropagation: https://youtu.be/IN2XmBhILt4
Neural networks with multiple inputs and outputs: https://youtu.be/aObJUevCVDc
ArgMax and SoftMax: https://youtu.be/KpKog-L9veg
Cross Entropy: https://youtu.be/6ArSys5qHAU
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
5:47 dCE_setosa with respect to b3
11:19 dCE_virginica with respect to b3
15:03 Other derivatives
16:09 Backpropagation with cross entropy
#StatQuest #NeuralNetworks #CrossEntropy | 122,501 | 2,946 | 309 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) | 2021-03-08 | One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network called a Convolutional Neural Network (or CNN for short). In this StatQuest, we walk through how Convolutional Neural Networks work, one step at a time, and highlight the main ideas behind filters and pooling.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: https://youtu.be/CqOfi41LfDw
The main ideas behind backpropagation: https://youtu.be/IN2XmBhILt4
Neural networks with multiple inputs and outputs: https://youtu.be/83LYR-1IcjA
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:51 Image classification with a normal Neural Network
4:28 The main ideas of Convolutional Neural Networks
4:59 Creating a Feature Map with a Filter
7:58 Pooling
9:48 Using the Pooled values as input for a Neural Network
11:29 Classifying an image of the letter "X"
13:04 Classifying a shifted image of the letter "X"
#StatQuest #NeuralNetworks #Convolution | 228,450 | 7,233 | 743 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Recurrent Neural Networks (RNNs), Clearly Explained!!! | 2022-07-11 | When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.
#StatQuest #NeuralNetworks #Deeplearning #DubbedWithAloud | 508,279 | 12,631 | 725 | AUieDaZRy-DaZRLiJtaRbDg66Pv02VOqzvjjkjPnpao0PwY-Co0 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Long Short-Term Memory (LSTM), Clearly Explained | 2022-11-07 | Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train. This is where Long Short-Term Memory (LSTM) saves the day. Long Short-Term Memory is a type of recurrent neural network that can handle much larger sequences of data without those pesky exploding/vanishing gradient problems that plague basic recurrent neural networks.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song, introduction and main ideas
4:19 The sigmoid and tanh activation functions
5:58 LSTM Stage 1: The percent to remember
9:25 LSTM Stage 2: Update the long-term memory
12:42 LSTM Stage 3:Update the short-term memory
14:33 LSTM in action with real data
#StatQuest #LSTM #Dubbedwithaloud | 511,177 | 13,298 | 1,190 | AUieDabGyZNJ_zNUERq3BEMZnkysdQNoJ07xjAdpx5nHJCujfoA | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Word Embedding and Word2Vec, Clearly Explained!!! | 2023-03-13 | Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most popular methods for assigning numbers to words is to use a Neural Network to create Word Embeddings. In this StatQuest, we go through the steps required to create Word Embeddings, and show how we can visualize and validate them. We then talk about one of the most popular Word Embedding tools, word2vec. BAM!!!
Note, this StatQuest assumes that you are already familiar with...
The Basics of how Neural Networks Work: https://youtu.be/CqOfi41LfDw
The Basics of how Backpropagation Works: https://youtu.be/IN2XmBhILt4
How the Softmax function works: https://youtu.be/KpKog-L9veg
How Cross Entropy works: https://youtu.be/6ArSys5qHAU
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
4:25 Building a Neural Network to do Word Embedding
8:18 Visualizing and Validating the Word Embedding
10:42 Summary of Main Ideas
11:44 word2vec
13:36 Speeding up training with Negative Sampling
#StatQuest #word2vec | 278,286 | 7,092 | 484 | AUieDaYmvfS3pC3E1Ri82VwTfQ4wwbzrhKCLi2JPg7HxM7sL | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!! | 2023-05-08 | In this video, we introduce the basics of how Neural Networks translate one language, like English, to another, like Spanish. The ideas is to convert one sequence of things into another sequence of things, and thus, this type of neural network can be applied to all sort so of problems, including translating amino acids into 3-dimensional structures.
NOTE: This StatQuest assumes that you are already familiar with...
Long, Short-Term Memory (LSTM): https://youtu.be/YCzL96nL7j0
...and...
Word Embedding: https://youtu.be/viZrOnJclY0
Also, if you'd like to go through Ben Trevett's tutorials, see: https://github.com/bentrevett/pytorch-seq2seq/tree/rewrite
Finally, here's a link to the original manuscript: https://arxiv.org/abs/1409.3215
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
3:43 Building the Encoder
8:27 Building the Decoder
12:58 Training The Encoder-Decoder Model
14:40 My model vs the model from the original manuscript
#StatQuest #seq2seq #neuralnetwork | 172,489 | 3,581 | 321 | AUieDaa6cpu8TnxlTAw0Hbz7yiHQpGR5v7H7hP4M9mFf4tGiEu8 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Attention for Neural Networks, Clearly Explained!!! | 2023-06-05 | Attention is one of the most important concepts behind Transformers and Large Language Models, like ChatGPT. However, it's not that complicated. In this StatQuest, we add Attention to a basic Sequence-to-Sequence (Seq2Seq or Encoder-Decoder) model and walk through how it works and is calculated, one step at a time. BAM!!!
NOTE: This StatQuest is based on two manuscripts. 1) The manuscript that originally introduced Attention to Encoder-Decoder Models: Neural Machine Translation by Jointly Learning to Align and Translate: https://arxiv.org/abs/1409.0473 and 2) The manuscript that first used the Dot-Product similarity for Attention in a similar context: Effective Approaches to Attention-based Neural Machine Translation https://arxiv.org/abs/1508.04025
NOTE: This StatQuest assumes that you are already familiar with basic Encoder-Decoder neural networks. If not, check out the 'Quest: https://youtu.be/L8HKweZIOmg
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
3:14 The Main Idea of Attention
5:34 A worked out example of Attention
10:18 The Dot Product Similarity
11:52 Using similarity scores to calculate Attention values
13:27 Using Attention values to predict an output word
14:22 Summary of Attention
#StatQuest #neuralnetwork #attention | 240,640 | 5,079 | 397 | AUieDaYRmqWJFX4LaxFpCmVsW-40U6fsht1x4yKp5AECQOOQuhk | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! | 2023-07-24 | Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and many other cool things, are based on Transformers. This StatQuest cuts through all the hype and shows you how a Transformer works, one-step-at-a time.
NOTE: If you're interested in learning more about Backpropagation, check out these 'Quests:
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
Backpropagation Main Ideas: https://youtu.be/IN2XmBhILt4
Backpropagation Details Part 1: https://youtu.be/iyn2zdALii8
Backpropagation Details Part 2: https://youtu.be/GKZoOHXGcLo
If you're interested in learning more about the SoftMax function, check out:
https://youtu.be/KpKog-L9veg
If you're interested in learning more about Word Embedding, check out: https://youtu.be/viZrOnJclY0
If you'd like to learn more about calculating similarities in the context of neural networks and the Dot Product, check out:
Cosine Similarity: https://youtu.be/e9U0QAFbfLI
Attention: https://youtu.be/PSs6nxngL6k
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:26 Word Embedding
7:30 Positional Encoding
12:53 Self-Attention
23:37 Encoder and Decoder defined
23:53 Decoder Word Embedding
25:08 Decoder Positional Encoding
25:50 Transformers were designed for parallel computing
27:13 Decoder Self-Attention
27:59 Encoder-Decoder Attention
31:19 Decoding numbers into words
32:23 Decoding the second token
34:13 Extra stuff you can add to a Transformer
#StatQuest #Transformer #ChatGPT | 624,913 | 15,897 | 1,221 | AUieDabG8b70r7bB5R8zPqB59Y09vAAEcroSuot6b2oeVNsAF4U | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! | 2023-08-28 | Transformers are taking over AI right now, and quite possibly their most famous use is in ChatGPT. ChatGPT uses a specific type of Transformer called a Decoder-Only Transformer, and this StatQuest shows you how they work, one step at a time. And at the end (at 32:14), we talk about the differences between a Normal Transformer and a Decoder-Only Transformer. BAM!
NOTE: If you're interested in learning more about Backpropagation, check out these 'Quests:
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
Backpropagation Main Ideas: https://youtu.be/IN2XmBhILt4
Backpropagation Details Part 1: https://youtu.be/iyn2zdALii8
Backpropagation Details Part 2: https://youtu.be/GKZoOHXGcLo
If you're interested in learning more about the SoftMax function, check out:
https://youtu.be/KpKog-L9veg
If you're interested in learning more about Word Embedding, check out: https://youtu.be/viZrOnJclY0
If you'd like to learn more about calculating similarities in the context of neural networks and the Dot Product, check out:
Cosine Similarity: https://youtu.be/e9U0QAFbfLI
Attention: https://youtu.be/PSs6nxngL6k
If you'd like to learn more about Normal Transformers, see: https://youtu.be/zxQyTK8quyY
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:34 Word Embedding
7:26 Position Encoding
10:10 Masked Self-Attention, an Autoregressive method
22:35 Residual Connections
23:00 Generating the next word in the prompt
26:23 Review of encoding and generating the prompt
27:20 Generating the output, Part 1
28:46 Masked Self-Attention while generating the output
30:40 Generating the output, Part 2
32:14 Normal Transformers vs Decoder-Only Transformers
#StatQuest | 108,682 | 2,819 | 327 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Tensors for Neural Networks, Clearly Explained!!! | 2022-02-28 | Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently. In this StatQuest, we clear this up and tell you what the big deal is. BAM!
NOTE: If you are not already familiar with Neural Networks, check out the Neural Network playlist: https://www.youtube.com/watch?v=CqOfi41LfDw&list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:34 Why we need Tensors
4:52 Tensors store data
6:51 Tensors have hardware acceleration
7:37 Tensors have automatic differentiation
#StatQuest #Tensors #NeuralNetworks | 173,772 | 5,591 | 273 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Essential Matrix Algebra for Neural Networks, Clearly Explained!!! | 2023-12-11 | Although you don't need to know matrix algebra to understand the ideas behind neural networks, if you want to code them or read the latest manuscripts about the field, then you'll need to understand matrix algebra. This video teaches the essential topics in matrix algebra and shows how a neural network can be written as a matrix equation, and then shows how understand PyTorch documentation, error messages and the equations for Attention, which is the fundamental concept behind ChatGPT.
Note: If you want to learn more about neural networks...
https://youtu.be/CqOfi41LfDw
...backpropagation...
https://youtu.be/IN2XmBhILt4
...the ReLU activation function...
https://youtu.be/68BZ5f7P94E
...tensors...
https://youtu.be/L35fFDpwIM4
...SoftMax...
https://youtu.be/KpKog-L9veg
...Transformers and Attention...
https://youtu.be/zxQyTK8quyY
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:35 Introduction to linear transformations
5:57 Linear transformations in matrix notation
7:34 Matrix multiplication
11:03 Matrix multiplication consolidates a sequence of linear transformations
13: 46 Order matters for matrix multiplication
15:18 Transposing a matrix
16:37 Matrix notation and equations
18:51 Using matrix equations to describe a neural network
24:26 nn.Linear() documentation explained
26:38 1-D vs 2-D error messages explained
27:17 The matrix equation for Attention explained
#StatQuest #neuralnetworks #matrixalgebra | 46,675 | 1,428 | 138 | AUieDaam5fVo1xmSYqY9TCeHUTSN2_4vXI4mqo5SNSF3 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The matrix math behind transformer neural networks, one step at a time!!! | 2024-04-08 | Transformers, the neural network architecture behind ChatGPT, do a lot of math. However, this math can be done quickly using matrix math because GPUs are optimized for it. Matrix math is also used when we code neural networks, so learning how ChatGPT does it will help you code your own. Thus, in this video, we go through the math one step at a time and explain what each step does so that you can use it on your own with confidence.
NOTE: This StatQuest assumes that you are already familiar with:
Transformers: https://youtu.be/zxQyTK8quyY
The essential matrix algebra for neural networks: https://youtu.be/bQ5BoolX9Ag
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:43 Word Embedding
3:37 Position Encoding
4:28 Self Attention
12:09 Residual Connections
13:08 Decoder Word Embedding and Position Encoding
15:33 Masked Self Attention
20:18 Encoder-Decoder Attention
21:31 Fully Connected Layer
22:16 SoftMax
#StatQuest #Transformer #ChatGPT | 48,492 | 1,034 | 104 | AUieDaZLvm4cA5Igf6HmuRsSw11uIRL_9iK7jUZOQQ5-LX8o6FE | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The StatQuest Introduction to PyTorch | 2022-04-25 | PyTorch is one of the most popular tools for making Neural Networks. This StatQuest walks you through a simple example of how to use PyTorch one step at a time. By the end of this StatQuest, you'll know how to create a new neural network from scratch, make predictions and graph the output, and optimize a parameter using backpropagation. BAM!!!
To learn more about Lightning: https://lightning.ai/
The code demonstrated this video can be downloaded here:
https://lightning.ai/lightning-ai/studios/statquest-introduction-to-coding-neural-networks-with-pytorch?view=public§ion=all
This StatQuest assumes that you are already familiar with...
Neural Networks: https://youtu.be/CqOfi41LfDw
Backpropagation: https://youtu.be/IN2XmBhILt4
The ReLU Activation Function: https://youtu.be/68BZ5f7P94E
Tensors: https://youtu.be/L35fFDpwIM4
To install PyTorch see: https://pytorch.org/get-started/locally/
To install matplotlib, see: https://matplotlib.org/stable/users/getting_started/
To install seaborn, see: https://seaborn.pydata.org/installing.html
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:38 Coding preliminaries
2:15 Creating a neural network in PyTorch
7:54 Graphing the neural network's output
10:47 Optimizing a parameter with backpropagation
#StatQuest #NeuralNetworks #PyTorch | 148,142 | 4,184 | 348 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
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null | null | null | null | null | Introduction to Coding Neural Networks with PyTorch and Lightning | 2022-09-19 | Although we've seen how to code a simple neural network with PyTorch, we can make our lives a lot easier if we add Lightning to the mix. It makes writing the code easier, makes it portable to different computing environments and can even find the learning rate for us! TRIPLE BAM!!!!
NOTE: You can download the code here: https://lightning.ai/lightning-ai/studios/statquest-introduction-to-neural-networks-with-pytorch-lightning?view=public§ion=all
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:04 Review of basic PyTorch
2:34 Coding a pretrained neural network with PyTorch + Lightning
7:52 Training a neural network with PyTorch + Lightning
14:05 Using Lightning to find a good Learning Rate
17:25 Taking advantage of GPU acceleration with Lightning
#StatQuest #DubbedWithAloud #PyTorch #Lightning | 59,892 | 1,459 | 196 | AUieDaYdvnM9bCMy4c8Ux3YOCo_wkp3l_tIRdfY8YCLncdM4 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | Long Short-Term Memory with PyTorch + Lightning | 2023-01-24 | In this StatQuest we'll learn how to code an LSTM unit from scratch and then train it. Then we'll do the same thing with the PyTorch function nn.LSMT(). Along the way we'll learn two cool tricks that Lightning gives us that make our lives easier: 1) How to add more training epochs without starting over and 2) How to easily visualize the training results to determine if you need to do more training or are done.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
4:25 Importing the modules
5:39 An outline of an LSTM class
6:56 init(): Creating and initializing the tensors
9:09 lstm_unit(): Doing the LSTM math
12:25 forward(): Make a forward pass through an unrolled LSTM
13:42 configure_optimizers(): Configure the...optimizers.
14:00 training_step(): Calculate the loss and log progress
16:40 Using and training our homemade LSTM
20:43 Evaluating training with TensorBoard
23:22 Adding more epochs to training
26:18 Using and training PyTorch's nn.lstm()
#StatQuest | 59,795 | 1,265 | 181 | AUieDabi52IMrFcVLOt-4qJIN2GmAs51ZyyUPJUQ4orjpbb8 | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
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null | null | null | null | null | Word Embedding in PyTorch + Lightning | 2023-11-06 | Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the art models. Here we learn how to code a stand alone word embedding network from scratch and with nn.Linear. We then learn how to load and use pre-trained word embedding values with nn.Embedding.
NOTE: This StatQuest assumes that you are already familiar with Word Embedding, if not, check out the 'Quest: https://youtu.be/viZrOnJclY0
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:53 Importing modules
2:48 Encoding the training data
6:55 Word Embedding from scratch
16:54 Graphing the embedding values
21:17 Printing out predicted words
20:37 Word Embedding with nn.Linear
28:12 Loading and using pre-trained Embedding values with nn.Embedding
#StatQuest #neuralnetworks #transformers | 32,389 | 687 | 77 | null | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | StatQuest: Histograms, Clearly Explained | 2017-09-25 | Histograms are one of the most basic statistical tools that we have. They are also one of the most powerful and most frequently used. However, they are not without pitfalls... So this StatQuests covers the essential information that you need to have to make the most of histograms.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
#statquest #statistics #histogram | 668,058 | 11,298 | 315 | AUieDabhUTvL6Fo1HMbqKCuFJ_d5rNuKXpN4XrMdxGus | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The Main Ideas behind Probability Distributions | 2017-04-17 | Here we demystify what a probability distribution is. It's not complicated, and we'll build on this in the coming weeks.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
#statquest #statistics | 408,602 | 7,759 | 253 | AUieDaZ5fzMpVToetRjp9wHfA6Ncw8GLAgqL1WjGdpgr | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |
|
null | null | null | null | null | The Normal Distribution, Clearly Explained!!! | 2017-10-09 | The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these distributions are created and how they should be interpreted.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
#statquest #statistics | 1,386,398 | 25,330 | 703 | AUieDabLnrPk6fpiO-rzUe84MIn86NWMvaGPniFj8OIX | Provide a summary for the following playlist | null | Views: nan, Likes: nan, Comments: nan, Videos: nan |