Phase 03
Deep Learning Core
Neural networks from first principles. No frameworks until you build one yourself.
Lessons (13)
- 01The Perceptron
- 02Multi-Layer Networks and Forward Pass
- 03Backpropagation from Scratch
- 04Activation Functions
- 05Loss Functions
- 06Optimizers
- 07Regularization
- 08Weight Initialization and Training Stability
- 09Learning Rate Schedules and Warmup
- 10Build Your Own Mini Framework
- 11Introduction to PyTorch
- 12Introduction to JAX
- 13Debugging Neural Networks