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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

The road ahead

While the previous diagram depicting the advances in processing power might make us look back in nostalgia over how far we have come, this same nostalgia will be wiped away quite fast as soon as we realize how far we still have to go.

As we saw in the preceding diagram, the computational power of the systems we have implemented so far are nowhere near that of a human brain. The neural networks that we devised (at least in this book) had a number of neurons ranging anywhere from a million (the equivalent of what you would find in a cockroach) to about ten million (close to what is common for an adult zebra fish).

Attempting to train a network that parallels a human mind, at least in the number of neurons used, is currently beyond the scope of human engineering, as of the date of this book. It simply surpasses our current computing capacity. Moreover, it is important...

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