Neural Network in Rust

index Rust

Resources: https://towardsdatascience.com/the-ultimate-ndarray-handbook-mastering-the-art-of-scientific-computing-with-rust-ef5ab767212a/

https://rust-lang-nursery.github.io/rust-cookbook/intro.html

🔧 Dependencies

• ndarray (store 2d array of data)
• ndarray-rand (generate intial random weights(w) and biases(b))
• polars (to read write data in csv)

🧠 Model Overview

• input layer, 1 hidden layer, output layer
• Input: 784-dimensional MNIST images
• Hidden layer: 10 neurons with ReLU as activation function
• Output layer: 10 neurons with softmax as activation function for multi-class classification