Lecture Slides

Interactive Reveal.js presentations covering all six parts of the course. Use arrow keys to navigate, S for speaker notes, ESC for slide overview.

Parts I & II

Origins & The Perceptron

Chapters 1–7 · 48 slides

McCulloch-Pitts neuron · Boolean logic · Perceptron model · Learning algorithm · Convergence theorem · Boolean functions

Part III

Limitations & Breakthroughs

Chapters 8–11 · 21 slides

XOR problem · Minsky-Papert · Linear separability · Cover's theorem · Multi-layer solution

Part IV

Learning Rules

Chapters 12–14 · 18 slides

Hebbian learning · Oja's rule · PCA connection · BCM rule · Credit assignment problem

Part V

Backpropagation

Chapters 15–19 · 32 slides

Gradient descent · BP derivation · Activation functions · Vanishing gradient · Universal approximation

Part VI

Synthesis

Chapter 20 · 13 slides

Grand timeline · Three themes · AI Winter lessons · What comes next

Keyboard shortcuts: Arrow keys to navigate · S speaker notes · ESC overview · F fullscreen · ? all shortcuts

Total: 132 slides across 6 presentations covering all 20 chapters.