Rust Deep Learning

School Project I did for a Neural Networks Class at the end of 2023:
- Implements a neural net (backpropagation / multilayer perceptron) in Rust
- Constraint: Can't use any Linear Algebra libraries or frameworks
- Training/Dataset: Fashion-MNIST dataset (achieves about 91% accuracy in less than 10 min of training)

See `OVERVIEW.png` for the underlying math I came up with to do backprop and organize memory.

# Dataset
Fashion MNIST (https://arxiv.org/pdf/1708.07747.pdf). Dataset of images ‒ consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. The dataset is in CSV format:
- `fashion_mnist_train_vectors.csv` - training input vectors
- `fashion_mnist_test_vectors.csv`  - testing input vectors
- `fashion_mnist_train_labels.csv`  - training labels
- `fashion_mnist_test_labels.csv`   - testing labels