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
Lesson 9 video timeline:
00:00:30 Contribute to, and use Lesson 8 Wiki
00:02:00 Experiments on Image/Neural Style Transfer
00:05:45 Advanced tips from Keras on Neural Style Transfer
00:10:15 More tips to read research papers & “A Neural Algorithm of Artistic Style, Sep-2015”
00:23:00 From Style Transfer to Generative Models
00:32:50 “Perpetual Losses for Real-Time Style Transfer & Super-Resolution, Mar-2016”
00:39:30 Implementation notebook w/ re-use of ‘bcolz’ arrays from Part 1.
00:43:00 Digress: how “practical” are the tools learnt in Part 2, vs. Part 1 ?
00:52:10 Two approaches to up-sampling: Deconvolution & Resizing
01:09:30 TQDM library: add a progress meter to your loops
01:17:30 Fast Style Transfer w/ “Supplementary Material, Mar-2016”
01:27:45 Ugly artifacts like “checkerboard”: cause and fixes; Keras UpSampling2D
01:31:20 ImageNet Processing in parallel
01:33:15 DeVISE research paper
01:38:00 Digress: Tips on path setup for SSD vs. HD
01:42:00 words, vectors = zip(*w2v_list)
01:49:30 Resize images
01:52:10 Three ways to make an algorithm faster:
memory locality,
simd/vectorization,
parallel processing