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@@ -4,24 +4,34 @@ datasets:
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  - ILSVRC/imagenet-1k
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  pipeline_tag: image-classification
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  ---
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- Intro:
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- ------
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- This repository stores the model for Resnet50v1.5 to be compatible with the Kalray's neural network package.
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- Please see www.github.com/kalray/kann-models-zoo for details and proper usage.
 
 
 
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- Contents:
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- --------
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  - ONNX: resnet50v1.5.onnx
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  - TFLite: resnet50v1.5.tflite
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- Lecture note reference:
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- -----------------------
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  Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf
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- Repository or links reference:
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- ------------------------------
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  https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html#torchvision.models.resnet50
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- Author:
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- -------
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- qmuller@kalrayinc.com
 
 
 
 
 
 
 
 
 
 
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  - ILSVRC/imagenet-1k
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  pipeline_tag: image-classification
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  ---
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+ # Intro:
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+
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+ This repository stores the model for Resnet50v1.5 to be compatible with the Kalray's neural network API. </br>
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+ Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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+ Please see https://huggingface.co/docs/transformers/main/en/model_doc/resnet for Resnet model description. </br>
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+
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+ # Contents:
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  - ONNX: resnet50v1.5.onnx
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  - TFLite: resnet50v1.5.tflite
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+ # Lecture note reference:
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+
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  Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf
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+ # Repository or links references:
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+
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  https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html#torchvision.models.resnet50
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+ BibTeX entry and citation info
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+ ```
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+ @inproceedings{he2016deep,
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+ title={Deep residual learning for image recognition},
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+ author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
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+ booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
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+ pages={770--778},
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+ year={2016}
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+ }
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+ ```
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+
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+ Author: qmuller@kalrayinc.com