Most machine learning tutorials start with Python. This one starts with Rust.
In this guide, we explore how to use Burn to build a simple neural network from scratch for binary classification.
You’ll learn:
- Why Burn is a great choice for Rust-native deep learning
- How to define model layers with LinearConfig
- Why init(device) matters in newer Burn versions
- How forward propagation works with ReLU activation
- How to prepare for full training with optimizers like Adam and SGD
If you're exploring production-ready ML systems in Rust, this is a great place to begin.
Read the full tutorial:
https://www.djamware.com/post/building-your-first-neural-network-in-rust-with-burn
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