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pytorch-installation

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atul04 / PyTorch-Programming-CNN-FASHION_MNIST

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CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params

learning jupyter-notebook deep pytorch tensorboard cuda-kernels tensor python36 cnn-model pytorch-tutorial fashion-mnist pytorch-implementation pytorch-installation
  • Updated Aug 1, 2019
  • Jupyter Notebook

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