Deep Neural Network from Scratch in Rust 🦀- Part 1- Basics of Neural Network
A series on building Deep Neural Networks from scratch in Rust Language
Introduction
As a machine learning enthusiast, I have always been fascinated by the inner workings of neural networks. While there are many high-level libraries that make it easy to build neural networks, I believe that understanding the fundamentals and building it from scratch is essential for mastering the concepts.
In this tutorial series, I will guide you through building a neural network model step by step, explaining each concept along the way. We’ll start with a brief introduction to neural networks and then dive into the Rust programming language, which is known for its performance, safety, and concurrency.
Whether you’re a beginner or an experienced developer, this tutorial will help you gain a deeper understanding of neural networks and their implementation in Rust. So let’s get started!
Why Rust is a Good Choice for Building Neural Networks
Rust is a good choice for building neural networks from scratch because it offers several advantages, such as:
- Safety 🛟: Rust is a systems programming…
