Lesson 8 - Practical Deep Learning for Coders 2022

00:00 - Neural net from scratch 04:46 - Parameters in PyTorch 07:42 - Embedding from scratch 12:21 - Embedding interpretation 18:06 - Collab filtering in fastai 22:11 - Embedding distance 24:22 - Collab filtering with DL 30:25 - Embeddings for NLP 34:56 - Embeddings for tabular 44:33 - Convolutions 57:07 - Optimizing convolutions 58:00 - Pooling 1:05:12 - Convolutions as matrix products 1:08:21 - Dropout 1:14:27 - Activation functions 1:20:41 - Jeremy AMA 1:20:57 - How do you stay motivated? 1:23:38 - Skew towards big expensive models 1:26:25 - How do you homeschool children 1:28:26 - Walk-through as a separate course 1:29:59 - How do you turn model into a business 1:32:46 - Jeremy's productivity hacks 1:36:03 - Final words Transcript thanks to fmussari and bencoman from forums.fast.ai Timestamps based on notes by Daniel from forums.fast.ai