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A from-scratch implementation of neural networks using functional programming to make a dollar store pytorch package.

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A from-scratch Pytorch-like implementation of neural networks using only functional programming

Done using numpy for matrix operations, mostly as a review exercise for my own sake.

Easy to extend and modify to support any new layers or initialization schemes.

See example_usage.ipynb for example usage

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A from-scratch implementation of neural networks using functional programming to make a dollar store pytorch package.

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