|
--- |
|
library_name: keras |
|
license: mit |
|
pipeline_tag: image-classification |
|
--- |
|
|
|
> This is **Experimental** / **Deprecated model**, please visit https://huggingface.co/ryanlinjui/darkchess-robot-eye-VGGNet |
|
|
|
## Model description |
|
This model serves as the **Eye of Darkchess Robot**, used to recognize the real-world Darkchess board. |
|
> for more imformation, please visit: https://github.com/ryanlinjui/darkchess-robot |
|
|
|
### Architecture |
|
Based on [AlexNet](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) and [LeNet](https://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf), with modifications to theirs architecture and parameters. |
|
|
|
<details> |
|
<summary>Click me</summary> |
|
|
|
 |
|
|
|
</details> |
|
|
|
|
|
## Evalution Stat |
|
TBA |
|
|
|
## Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
|
|
| Hyperparameters | Value | |
|
| :-- | :-- | |
|
| name | Adam | |
|
| learning_rate | 0.0010000000474974513 | |
|
| decay | 0.0 | |
|
| beta_1 | 0.8999999761581421 | |
|
| beta_2 | 0.9990000128746033 | |
|
| epsilon | 1e-07 | |
|
| amsgrad | False | |
|
| training_precision | float32 | |
