rohitg00__ai-engineering-from-scratch/phases/03-deep-learning-core

Phase 3: Deep Learning Core

Neural networks from first principles. No frameworks until you build one yourself.

Start this phase on GitHub

Prerequisites: Phase 1 Linear Algebra Intuition. Phase 2 is recommended for model evaluation vocabulary.

First lesson: The Perceptron

Run this command from the repository root:

python3 phases/03-deep-learning-core/01-the-perceptron/code/perceptron.py

Keep the command, exit code, converged gate results, XOR failure of a single perceptron, and the final two-layer XOR predictions.

Next action: Explain why one linear boundary cannot solve XOR, then continue to Multi-Layer Networks and Forward Pass.

Browse the full Phase 3 lesson list or the cross-phase roadmap.