Simple Neural Network in Rust

This Rust project is a port of the neural network example from Chapter 1 of "Neural Networks and Deep Learning" by Michael Nielsen. Instead of using the MNIST dataset, this implementation uses the XOR function as the training example.

This is mostly a personal Rust exercise, and you probably don't want to use it for anything.

Features

• Simple feedforward neural network
• Stochastic Gradient Descent for training
• Uses XOR function as the training example (not very useful, but lightweight)

Usage

cargo run

Example Output

Epoch 0: 2 / 4
Epoch 1: 2 / 4
Epoch 2: 2 / 4
...
Epoch 199: 4 / 4

The output varies somewhat from run to run, based on how well the network learns from the initial random weights and biases.

Acknowledgments

• Original neural network example from Neural Networks and Deep Learning by Michael Nielsen, licensed under CC BY-NC 3.0.