# Advanced Deep Learning

> GANs, VAEs, diffusion models, graph neural networks, vision transformers, meta-learning, and interpretability.

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

Open [`24-advanced-deep-learning.ipynb`](./24-advanced-deep-learning.ipynb) for learning objectives, prerequisites, and recommended reading order.

## Topics Covered

- Generative models: GANs, VAEs, normalising flows, diffusion
- Graph neural networks and geometric deep learning
- Vision transformers (ViT) and advanced transformer variants
- Meta-learning, neural architecture search, and interpretability

## Prerequisites

[06-neural-networks/README.md](../06-neural-networks/README.md) · [03-maths/README.md](../03-maths/README.md)

## What Comes Next

[25-reinforcement-learning/README.md](../25-reinforcement-learning/README.md)
