Resources

Math and Physics

Physics and Deep Learning

• book Welcome to the Physics-based Deep Learning Book (v0.2)
• Rob J Hyndman | Professor of Statistics

Algorithms

MIT’s Introduction to Algorithms:

• Lecture Notes
• Lecture Videos

Introduction

Neural Network

• A Brief Introduction to Neural Networks
• Making neural nets uncool again
• 3blue1brown github videos
• 3blue1brown
• repo manim
• But what is a neural network? | Deep learning chapter 1

Deep Learning

• MIT Introduction to Deep Learning | 6.S191
• Practical Deep Learning
• MIT 6.S191 Introduction to Deep Learning 2025
• MIT 6.S191 Introduction to Deep Learning 2024

Generative AI

• Generative AI in a Nutshell - how to survive and thrive in the age of AI
• Generative AI in a Nutshell: poster

Machine Learning

• youtube Learn Machine Learning Like a GENIUS and Not Waste Time
• 6.867 Machine Learning (Fall 2004)
• 6.867 | Fall 2006 | GraduateMachine Learning
• Machine Learning Resources

Tools, papers and labs

• paper Attention Is All You Need
• web IT-Tools
• youtube Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math)
• AI by hand
• paper Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,

Workflows and automation

• n8n
• Build LLM Apps Easily
• Abacus

to classify:

• book Welcome to the Physics-based Deep Learning Book (v0.2)
• LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production
• Repo
• The Little Book of Deep Learning
• Understand Deep Learning: Python notebooks covering the whole text
• Deep Learning An MIT Press book Ian Goodfellow and Yoshua Bengio and Aaron Courville