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

Section 2: Advanced Neural Network Architectures

This section familiarizes the reader with different types of convolutional and pooling layers that may be used in neural networks to process sensory input, from images on your laptop, to databases and real-time IoT applications. Readers will learn about using pretrained models, such as LeNet, and partial convolutional networks for image and video reconstruction on Keras, gain insights into how to deploy models using REST APIs, and then embed them in Raspberry computing devices for custom use cases, such as photography, surveillance, and inventory management.

Readers will be exposed to the underlying architectures of reinforcement learning networks in detail and learn how to implement core and extended layers in Keras for desired outcomes.

Then, they will dive deeper into the theory behind different types of recurrent networks and...

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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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