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Advanced Deep Learning with Keras
book

Advanced Deep Learning with Keras

by Rowel Atienza, Neeraj Verma, Valerio Maggio
October 2018
Intermediate to advanced content levelIntermediate to advanced
368 pages
9h 20m
English
Packt Publishing
Content preview from Advanced Deep Learning with Keras

Auxiliary classifier GAN (ACGAN)

ACGAN is similar in principle to the Conditional GAN (CGAN) that we discussed in the previous chapter. We're going to compare both CGANand ACGAN. For both CGAN and ACGAN, the generator inputs are noise and its label. The output is a fake image belonging to the input class label. For CGAN, the inputs to the discriminator are an image (fake or real) and its label. The output is the probability that the image is real. For ACGAN, the input to the discriminator is an image, whilst the output is the probability that the image is real and its class label. Following figure highlights the difference between CGAN and ACGAN during generator training:

Figure 5.3.1: CGAN vs. ACGAN generator training. The main difference is the ...

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Publisher Resources

ISBN: 9781788629416Supplemental Content