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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -169,11 +169,12 @@ In the case you know Matlab check here:
## PyTorch
* [Get CUDA ready!](pytorch/cuda/README.md)
* [Converting the original MNIST files into numpy](pytorch/MNIST/README.md)
* [Interfacing Data](pytorch/interfacing_data/README.md)
* [Data augmentation](pytorch/augmentation/README.md)
* [Layers](pytorch/layers/README.md)
* [Creating networks](pytorch/networks/README.md)
* [Converting the original MNIST files into numpy](pytorch/MNIST/README.md)
* [Train the network](pytorch/train/README.md)
* [How to take advantage of an optimizer for your non-Pytorch project](pytorch/optimizer_special/README.md)
* [How to take advantage of a learning rate scheduler for your non-Pytorch project](pytorch/scheduler_special/README.md)
* [Unfold: How to manually calculate the indices for a sliding 2d window](pytorch/Unfold/README.md)