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

Replicating versus generating content

While our autoencoding use cases in the last chapter were limited to image reconstruction and denoising, these use cases are quite distinct from the one we are about to address in this chapter. So far, we made our autoencoders reconstruct some given inputs, by learning an arbitrary mapping function. In this chapter, we want to understand how to train a model to create new instances of some content, instead of simply replicating its inputs. In other words, what if we asked a neural network to truly be creative and generate content just like human beings do?. Can this even be achieved? The canonical answer common in the realm of Artificial Intelligence (AI) is yes, but it is complicated. In the search for a more detailed answer, we arrive at the topic of this chapter: generative networks.

While a plethora of generative networks exist, ranging...

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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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