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Hands-On Neural Networks with Keras

You're reading from   Hands-On Neural Networks with Keras Design and create neural networks using deep learning and artificial intelligence principles

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789536089
Length 462 pages
Edition 1st Edition
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Author (1):
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Niloy Purkait Niloy Purkait
Author Profile Icon Niloy Purkait
Niloy Purkait
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Fundamentals of Neural Networks FREE CHAPTER
2. Overview of Neural Networks 3. A Deeper Dive into Neural Networks 4. Signal Processing - Data Analysis with Neural Networks 5. Section 2: Advanced Neural Network Architectures
6. Convolutional Neural Networks 7. Recurrent Neural Networks 8. Long Short-Term Memory Networks 9. Reinforcement Learning with Deep Q-Networks 10. Section 3: Hybrid Model Architecture
11. Autoencoders 12. Generative Networks 13. Section 4: Road Ahead
14. Contemplating Present and Future Developments 15. Other Books You May Enjoy

Quantum neural networks

Many of you may be thinking that all of this is nice, but we ourselves are surely decades away from being able to use a quantum computer, let alone design neural networks on it. While healthy skepticism is always nice, it does not do justice to the efforts of contemporary researchers, scientists, and businesses working around the clock to bring such systems to life. It may surprise you to know, for example, that anybody in the world with an internet connection today has free access to a quantum computer, using the link right here (courtesy of IBM): https://quantumexperience.ng.bluemix.net/qx/editor.

In fact, researchers such as Francesco Tacchino and his colleagues have already used this service to implement quantum neural networks for classification tasks! They were able to implement the world's first quantum perceptron, similar in spirit to the perceptron...

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