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Hands-On Neural Networks with Keras

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

Product type Book

Published in Mar 2019

Publisher Packt

ISBN-13 9781789536089

Pages 462 pages

Edition 1st Edition

Languages

Concepts

Neural Networks

Author (1):

Niloy Purkait

Table of Contents (16) Chapters

Preface

Section 1: Fundamentals of Neural Networks

Overview of Neural Networks

A Deeper Dive into Neural Networks

Signal Processing - Data Analysis with Neural Networks

Section 2: Advanced Neural Network Architectures

Convolutional Neural Networks

Recurrent Neural Networks

Long Short-Term Memory Networks

Reinforcement Learning with Deep Q-Networks

Section 3: Hybrid Model Architecture

Autoencoders

Generative Networks

Section 4: Road Ahead

Contemplating Present and Future Developments

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The purpose of controlling stochasticity

The main concept behind sampling is how you choose control stochasticity (or randomness) in selecting the next character from the probability distributions for possible characters to come. Various applications may ask for different approaches.

Greedy sampling

If you are trying to train an RNN for automatic text completion and correction, you will probably be better off going with a greedy sampling strategy. This simply means that, at each sampling step, you will choose the next character in the sequence based on the character that was attributed the highest probability distribution by our Softmax output. This ensures that your network will output predictions that likely correspond to...

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Authors (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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