Machine learning & deep learning
Machine learning: neural networks, deep learning, backpropagation, training, optimization, reinforcement learning, AlphaGo, ML research lectures, Karpathy, Hinton, LeCun, Stanford CS231n.
Recommended videos
- The spelled-out intro to neural networks and backpropagation: building micrograd
- But what is a neural network? | Deep learning chapter 1
- AlphaGo - The Movie | Full award-winning documentary
- Transformers, the tech behind LLMs | Deep Learning Chapter 5
- USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
- Lecture 1 | Machine Learning (Stanford)
- MarI/O - Machine Learning for Video Games
- Deep Dive into LLMs like ChatGPT
- Computer program that learns to play classic NES games
- RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
- Let's build GPT: from scratch, in code, spelled out.
- Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
- A Hackers' Guide to Language Models
- Andrej Karpathy - AI for Full-Self Driving at Tesla
- [1hr Talk] Intro to Large Language Models
- Joscha Bach: Artificial Consciousness and the Nature of Reality | Lex Fridman Podcast #101
- Tensorflow and deep learning - without a PhD by Martin Görner
- Brains, Sex, and Machine Learning
- Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive
- Why Greatness Cannot Be Planned — Kenneth Stanley
- Lecture 01 - The Learning Problem
- Future Computers Will Be Radically Different (Analog Computing)
- Uppestcase and Lowestcase Letters [advances in derp learning]
- Let's build the GPT Tokenizer