cnn-from-scratch: Implementing Convolutional Neural Networks from Scratch Using Rust

Introduction / Main Post: cnn-from-scratch: Implementing Convolutional Neural Networks from Scratch Using Rust

cnn-from-scratch is a Rust-based project that implements convolutional neural networks (CNNs) from scratch. It fully reproduces the backpropagation derivation from Zhifei Zhang's paper, providing high-quality learning resources for understanding the underlying principles of CNNs and developing high-performance deep learning systems.