[turingbike]

I was hoping that this would be related to Colah's "Neural Networks, Types, and Functional Programming" https://colah.github.io/posts/2015-09-NN-Types-FP/ (but it is not). In it, he establishes correspondances between different NN architectures and different FP tricks like `Zipped Left & Right Accumulating Map = Bidirectional RNN`.

Does anyone know any other resources that take this approach?

[joker3]

Backprop as functor (https://arxiv.org/abs/1711.10455) is a paper that explores similar ideas.