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

Summarizing different types of sequence processing tasks

Now, we have familiarized ourselves with the basic idea of what a recurrent layer does and have gone over some specific examples of use cases (from speech recognition, machine translation, and image captioning) where variations of such time-dependent models may be used. The following diagram provides a visual summary of some of the sequential tasks we discussed, along with the type of RNN that's suited for the job:

Next, we will dive deeper into the governing equations, as well as the learning mechanism behind RNNs.

How do RNNs learn?

As we saw previously, for virtually all neural nets, you can break down the learning mechanism into two separate parts. The forward...

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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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