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Deep Learning Book Companion Videos

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2019-02-16 08:09:06

https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b

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Deep Learning Chapter 1 Introduction presented by Ian Goodfellow

01:22:48

Deep Learning Chapter 2 Linear Algebra presented by Gavin Crooks

50:01

Deep Learing Chapter 3 Probability presented by Pierre Dueck

51:24

Deep Learning Chapter 3 Information Theory presented by Yaroslav Bulatov

11:37

Deep Learning Chapter 4 Numerical Computation presented by Yaroslav Bulatov

01:11:39

Deep Learning Chapter 6 Deep Feedforward Networks presented by Timothee Cour

01:34:07

Deep Learning Chapter 10 Sequence Modeling - Recurrent and Recursive Nets presen

01:29:10

Deep Learning Book Club CH5 live stream

02:12:28

Deep Learning Book Club CH5 (Part 2) live stream

01:58:44

Deep Learning Book Club CH7 live stream

01:30:14

Deep Learning Book Club CH8 live stream

01:38:17

Deep Learning Book Club CH9 CNNs live stream

01:57:03

Deep Learning Book Club CH11 Practical Methodology

01:17:38

Deep Learning Q&A with Alexander Toshev

31:13

Deep Learning Q&A with Yaroslav Bulatov

41:13

Live Stream Chapter 12 - Applications with author Ian Goodfellow

01:39:58

Live Stream Chapter 13 - Linear Factor Models with Pankaj Kumar

40:21

Live Stream Capter 14 - Autoencoders with Yaroslav Bulatov

01:15:54

Live Stream Chapter 15 - Representation Learning with Cosmin Negruseri

01:22:51

Live Stream Chapter 16 - Structured Probabilistic Models for Deep Learning with

01:39:01

Live Stream Chapter 17 - Monte Carlo Methods with Don Dini

53:22

Live Stream Chapter18 - Partition Function with Gavin Crooks

40:47

Live Stream Chapter 19 - Approximate Inference with Mimee Xu

29:41

Live Stream Chapter 20 - Deep Generative Models with Vincent Marron

01:04:31

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