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Modular mini Deep Learning framework that mimics the basics of Pytorch or Tensorflow.
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This framework currently implements linear layers, MSE loss, optimizers and different activation functions. The goal here is not to build a robust framework for practical use but to get a feel with the inner workings of modular backpropagation.

A simple classification task to test the framework can be run in

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