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Building a CNN model with pytorch to predict fashion-MNIST images
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  • Implemented CNNs in pytorch to perform multi-class classification of fashion-MNIST images.
  • Created Resblocks and Denseblocks (i.e. using skip connections with addition and concatenation respectively)
  • Implemented Batch Normalization, dropout and weight decay
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