Deep Learning
Networks of simple units, trained end to end. How they compute, how gradients flow back through them, and how to keep them from memorising.
In this chapter
■□□ Foundations ■■□ Practitioner ■■■ Research- § 1 Neural Networks In preparation Level: Foundations
- § 2 Backpropagation In preparation Level: Practitioner
- § 3 Optimizers: SGD to Adam In preparation Level: Practitioner
- § 4 Regularization In preparation Level: Practitioner
Topics: Neural networks · Backpropagation · Optimizers · Regularization · Formats: Plates · Derivations · PyTorch