Lesson 8 - Practical Deep Learning for Coders 2022

Описание: 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