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Modular mini Deep Learning framework that mimics the basics of Pytorch or Tensorflow.
Python
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README.md
UML_diagram.png
dlc_practical_prologue.py
helper.py
linear.py
loss.py
module.py
relu.py
sequential.py
sigmoid.py
tanh.py
test.py

README.md

General

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 test.py

UML diagram

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