Are GANs the next step in Deep Learning?

5+

Hours of content

18

Speakers

1

Interviews

Overview

Generative Adversarial Networks (GANs) was described by Yoshua Bengio as "the most interesting idea in the last 10 years in Machine Learning".

GANs are algorithmic architectures that use two neural networks against each other, to generate new, synthetic instances of data that can pass for real data.

How can you increase your understanding of GANs and their ability to produce/generate new content?

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