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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
Languages
Python
Tools
TensorFlowKeras
Concepts
Deep Learning
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Author (1)
Kailash Ahirwar
Kailash Ahirwar
author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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A Keras implementation of StackGAN

The Keras implementation of StackGAN is divided into two parts: Stage-I and Stage-II. We will implement these stages in the following sections.

Stage-I

A Stage-I StackGAN contains both a generator network and a discriminator network. It also has a text encoder network and a Conditional Augmentation network (CA network), which are explained in detail in the following section. The generator network gets the text conditioning variable (), along with a noise vector (x). After a set of upsampling layers, it produces a low-resolution image with dimensions of 64x64x3. The discriminator network takes this low-resolution image and tries to identify whether the image is real or fake. The generator...

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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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