dnn

A deep neural network crate for Rust.

Overview

dnn is a Rust crate that provides a framework for building, training, and evaluating deep neural networks. Whether you're exploring neural networks for learning or developing machine learning applications, this crate offers a simple yet flexible way to create and experiment with neural network models in Rust.

Features

• Flexible Architecture: Easily define layers and network architectures.
• Training Utilities: Utilize backpropagation and gradient descent for training.
• Extensible: Add custom activation functions, loss functions, and optimization algorithms.
• Seamless Integration: Works well with other Rust libraries and tools.

Installation

Add dnn to your Cargo.toml dependencies:

[dependencies]
dnn = "0.1.0"