Neural Net From Scratch

This repository is part of a presentation about how to develop neural nets from scratch without any libs. The presentation can be found here.

To install the necessary libs only run the following commands:

pip install -r requirements.txt

The file linear_regression.ipynb has an example of how to train an artificial neuron to perform a linear regression.

The module perceptron/classification has an implementation of an artificial neuron that replicates an AND gate.