You're reading from Hands-On Neural Networks with Keras

Product typeBook

Published inMar 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789536089

Edition1st Edition

Languages

Python

Tools

Keras

Concepts

Neural Networks

Author (1)

Niloy Purkait

Executing the training session

We finally initiate the training session with the respective arguments. You will notice the tqdm module displaying a percentage bar indicating the number of processed batches per epoch. At the end of the epoch, you will be able to visualize a 4 x 4 grid (shown next) of samples generated from the GAN network. And there you have it, now you know how to implement a GAN in Keras. On a side note, it can be very beneficial to have tensorflow-gpu along with CUDA set up, if you're running the code on a local machine with access to a GPU. We ran this code for 200 epochs, yet it would not be uncommon to let it run for thousands of epochs, given the resources and time. Ideally, the longer the two networks battle, the better the results should get. Yet, this may not always be the case, and hence, such attempts may also require careful monitoring of the...

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Hands-On Neural Networks with Keras

Published in: Mar 2019Publisher: PacktISBN-13: 9781789536089

Author (1)

Niloy Purkait

Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
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Author (1)

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