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# 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.