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Implementing Generative Adversarial Networks in TensorFlow

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Description

Generative Adversarial Networks (GANs) have drawn considerable interest in the deep learning community for their ability to synthesize realistic examples across a wide range of domains. Example applications include generating made-up celebrity faces, envisioning how Van Gogh would have painted the Duke Chapel, cracking Vigenère ciphers, and spawning fake news. In this session, we'll review the GAN conceptual framework and then build a simple GAN together in TensorFlow, Google's deep learning library. Bring a laptop and be ready to code!


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Details

Status Archived
Date Monday, March 18th, 2019
Time 4:00pm - 6:00pm
Location The Edge Workshop
Leader Kevin Liang
Enrolled 35 of 50

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