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About CSC321 Lecture 19: Generative Adversarial Networks
In generative modeling, we'd like to train a network that models a distribution, such as a distribution over images. One way to judge the quality of the model is to sample from it. This field has seen rapid progress: 2009. 2015. 2018. Roger Grosse. CSC321 Lecture 19: Generative Adversarial Networks
Detailed Information
| Author: | Roger Grosse |
|---|---|
| Publication Year: | 2017 |
| Pages: | 25 |
| Language: | English |
| File Size: | 12.64 |
| Format: | |
| Price: | FREE |
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