Building a Neural Network from Scratch in Rust
SMRTR summary
A simple neural network is built from scratch in Rust, covering project setup, core components implementation, and training on a basic dataset. The process includes defining the network structure, implementing forward pass and backpropagation, and using ndarray and rand crates for numerical operations and random number generation.
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