Neural Networks
Defined in one lecture.
Definitions are written by AI from each lecture’s transcript. The time opens the lecture where the lecturer explains it.
- Computational graphs inspired by biological neurons that take inputs and weights to produce a prediction or solution.
Lectures that build on it
- Spelled-Out Intro to Neural Networks & Backpropagation: Building micrograd
- Introduction to Large Language Models
- What Can the Theory of Cryptography Tell Us About AI Verification?
- Advanced Branch Prediction
- Just Machine Learning
- Applications of Optimization in Machine Learning and Engineering
- Introduction to Deep Learning
- The Conscious Turing Machine (CTM), a formally defined Theoretical model of Consciousness
- Frequency Selectivity and Nonlinearity in Hearing
- How to Train a Neural Net
- AI: Oppression or Innovation?
- Let's Build GPT: From Scratch, in Code, Spelled Out
- A Collectivist, Economic Perspective on AI Systems
- Recurrent Neural Networks, Transformers, and Attention