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You're reading from Advanced Deep Learning with Keras

Product typeBook

Published inOct 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788629416

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Learning

Author (1)

Rowel Atienza

Principles of GANs

As shown in Figure 4.1.1 a GAN is analogous to a counterfeiter (generator) - police (discriminator) scenario. At the academy, the police are taught how to determine if a dollar bill is either genuine or fake. Samples of real dollar bills from the bank and fake money from the counterfeiter are used to train the police. However, from time to time, the counterfeiter will attempt to pretend that he printed real dollar bills. Initially, the police will not be fooled and will tell the counterfeiter why the money is fake. Taking into consideration this feedback, the counterfeiter hones his skills again and attempts to produce new fake dollar bills. As expected the police will be able to both spot the money as fake and justify why the dollar bills are fake.

Figure 4.1.1: The generator and discriminator of GANs are analogous to the counterfeiter and the police. The goal of the counterfeiter is to fool the police into believing that the dollar bill is real.

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Advanced Deep Learning with Keras

Published in: Oct 2018Publisher: PacktISBN-13: 9781788629416

Author (1)

Rowel Atienza

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. Rowel has been fascinated with intelligent robots since he graduated from the University of the Philippines. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Rowel's current research work focuses on AI and computer vision. He dreams on building useful machines that can perceive, understand, and reason. To help make his dreams become real, Rowel has been supported by grants from the Department of Science and Technology (DOST), Samsung Research Philippines, and Commission on Higher Education-Philippine California Advanced Research Institutes (CHED-PCARI).
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Principles of GANs

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Author (1)

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