NeuNet

NeuNet is a custom neural network library developed from scratch in Zig, a low-level programming language (like C). This library allows users to create and train their own neural networks tailored to various tasks. The library implements fundamental concepts in machine learning such as gradient descent and backpropagation algorithms.

With this library, we define the architecture of our neural network, specifying the number of layers and neurons per layer, and train the model by giving the input and output data sets.

Read under nn/ for more info.

Also see the various projects under demos/ that demonstrate using the library to train models.

This project was created as an assignment for my college. The original credits goes to Alexey Kutepov (of the Tsoding Daily channel) for his videos on machine learning.