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.