Pytorch tutorial: Introduction & Course Overview

0:00 Intro
0:31 Goal of the course
2:08 What is deep learning?
7:06 Why deep learning now?
9:33 Deep learning pipeline
12:17 Overview of the course
16:02 Organization of the course
18:24 A first example in Colab (setting)
19:35 Dogs vs cats (data wrangling)
25:50 Data processing (dataset and dataloader)
40:51 VGG model
45:55 Modifying the last layer
49:50 Choosing your loss and optimizer for training
57:40 Precomputing features
1:03:39 Qualitative analysis