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Building neural networks from scratch only with Python and NumPy. This covers coding neurons, layering them, using activation functions, calculating loss, backpropagation, and optimizing parameters.

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Neural-Networks-from-Scratch-in-Python

https://nnfs.io/

https://nnfs.io/neural_network_animations

"Neural Networks From Scratch is a book intended to teach you how to build neural networks on your own, without any libraries, so you can better understand deep learning and how all of the elements work. This is so you can go out and do new/novel things with deep learning as well as to become more successful with even more basic models."

By Harrison Kinsley & Daniel Kukiela

Book Repo: https://github.com/Sentdex/nnfs_book

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Building neural networks from scratch only with Python and NumPy. This covers coding neurons, layering them, using activation functions, calculating loss, backpropagation, and optimizing parameters.

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