Note: the complete collection of Part 2 video timelines is available in a single thread for keyword search.
Part 2: complete collection of video timelines
I did a timeline of the Lesson 8 video as I found them very practical in Part 1 wiki.
There are many links, probably there was a lot of “happy noise” in the first class 
I expect future timelines to be shorter.
Lesson 8 video timeline:
0:00 : Intro and review of Part 1
08:00 : moving to Python 3
10:30 : moving to Tensorflow and TF Dev Summit videos
22:15 : moving to PyTorch
27:30 : from Part 1 “best practices” to Part 2 “new directions”
31:40 : time to build your own box
36:20 : time to start reading papers
39:30 : time to start writing about your work in this course
41:30 : what we’ll study in Part 2
40:40 : artistic style (or neural style) transfer
52:10 : neural style notebook
54:15 : Mendeley Desktop
56:15 : arXiv-Sanity.com
59:00 : Jeremy on twitter.com and reddit.com/r/MachineLearning/
1:01:15 : neural style notebook (continued)
1:04:05 : broadcasting, APL as “A Programming Language”, and Jsoftware
1:07:15 : broadcasting with Keras
1:12:00 : recreate input with a VGG model
1:22:45 : optimize the loss function with a deterministic approach
1:33:25 : visualize the iterations through a short video
1:37:30 : recreate a style
1:44:05 : transfer a style
- https://youtu.be/cRjPVN3oo4s?t=1h44m5s[details=Summary]This text will be hidden[/details]