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A library of neural network implementations written using just Python and NumPy, as a resource for learning.

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Neural Network Tutorials

Setting up a repo to build up a library of neural network tutorials with just python and numpy. My hope is that when followed in order, the tutorials will give a thorough and clear understanding of neural network implementation and fine-tuning. This is a work in progress.

1. Single Layer Perceptron

A network with just one neuron performing a binary classification task (sorting samples into two buckets). This is the simplest form of an artificial neural network (ANN), and a great way to understand backpropagation and gradient descent.

The accompanying blog post can be found here.

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A library of neural network implementations written using just Python and NumPy, as a resource for learning.

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