# Neural Networks

> Backpropagation, PyTorch fundamentals, attention mechanisms, and the transformer architecture.

![Status: complete](https://img.shields.io/badge/status-complete-brightgreen)

Open [`06-neural-networks.ipynb`](./06-neural-networks.ipynb) for learning objectives, prerequisites, and recommended reading order.

## Topics Covered

- Neural network basics and backpropagation
- PyTorch tensors, autograd, and training loops
- Attention mechanism and self-attention
- Transformer architecture end-to-end

## Prerequisites

[03-maths/README.md](../03-maths/README.md) · [05-embeddings/README.md](../05-embeddings/README.md)

## What Comes Next

[07-vector-databases/README.md](../07-vector-databases/README.md)
