Res-Net Architecture is coded in Tensorflow with Keras Fashion MNIST is used as the dataset There are around 20 layers in the net, and it takes around a min per epoch on Tesla K80 GPU (This time figure is from the Amazon AWS server) The model achieves 91.67% test accuracy in only 12 epochs
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20 Layer Res-Net CNN in Tensorflow and Keras. Trained on Tesla K80 GPU on Amazon AWS Server.
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