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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

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atul04/PyTorch-Programming-CNN-FASHION_MNIST

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PyTorch-Programming

To horn up my skills of Pytorch framework

An illustrated Jupyter-Notebook for the implementation of CNN from the scratch for the Fashion-MNIST DATASET

Learning - flow

  1. Installation Check
  2. Using Cuda
  3. Learning about Tensors
  4. CNN

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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

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