World4AI

World4AI is an interactive online book designed to learn different areas of artificial intelligence.

⚠️ The website is still in the early stages of development and is expected to change over the next weeks, months and years.

Main Ideas

• Learn AI through animations, interactive examples, intuition, math and coding exercises
• Learn different areas of AI, e.g. deep Learning and symbolic AI
• The book is always work in progress, aim for continuous improvement
• Practical examples and exercises accompany the book

Used Libraries

• Svelte, SvelteKit, Vite D3.js and KaTeX for Front-End development
• Pyton and PyTorch for deep learning

World4AI Roadmap 2023 (and beyond)

❗ For the time being we are focusing on deep learning. If a chapter is marked 🗸, that indicates that it has already reached a working state and can be used for studying purposes, but that does not mean that the chapter is finalized and will never be updated.

• Math Block

• Deep Learning Block

  • Fundamentals
  • Linear Regression
  • Logistic Regression
  • Neural Networks
  • Feature Scaling
  • Overfitting
  • Vanishing and Exploding Gradients
  • Stability and Speedup
  • Computer Vision
  • Sequence Modelling
  • Attention
  • Multi-Modal Models
  • Autoregressive Generative Models
  • GANs
  • Latent Variable Models
  • Diffusion Models
  • Energy Based Models
  • Graph Neural Networks
  • MLOps

• Reinforcement Learning and Deep Reinforcement Learning Block

  • Intuition
  • Markov Decision Process
  • Dynamic Programming
  • Tabular RL
  • Value Based Deep RL
  • Policy Gradient Methods
  • Actor Critic Methods
  • Trust Region Methods
  • AlphaGo and Relatives

• GOFAI Block

• Neuroscience Block

• Robotics

Contributions

If you notice any bugs, inconsistencies or have otherwise suggestions, please feel free to open an issue.