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Top Tracks
1
A Young Girl Cut Down in Her Prime
2
Generative Adversarial Networks (NIPS 2016 tutorial)
3
Introduction
4
Deep learning limitations
5
Function estimators
6
Selfawareness
7
Difficult cases
8
Hidden voice commands
9
Writing a deep learning chapter
10
What is deep learning
11
What could an alternative direction of training neural networks look like
12
Are you optimistic about us discovering something better
13
How do we build knowledge representation
14
Differentiable knowledge bases
15
GANs at a bar
16
Deep Boltzmann machines
17
What are GANs
18
How do GANs work
19
Types of GANs
20
History of GANs
21
Semisupervised GANs
22
Class labels
23
Zebra cycle
24
Data augmentation
25
Fairness
26
Generative Adversarial Networks (GANs)
27
What is an example of deep learning
28
Blurry Samples
29
Directional Second Derivatives
30
Deep learning optimization way of life
31
Critical Points
32
Saddle Points
33
Curvature
34
Predicting optimal step size using Taylor series
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