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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

Contemplating our future

Consider a new-born human baby. At first, it is even incapable of breathing and has to be motivated to do so by a few friendly spanks, delivered by the attending physician. For the first few months, this being does not seem to do anything remarkable and is incapable of independent movement, let alone thought. Yet, slowly, this same baby develops an internal model of the world around it. It becomes better and better at distinguishing all this light it sees and the cacophony of sounds it hears. Soon, it starts recognizing things such as movement, perhaps in the guise of a friendly face, hovering around with deliciously gooey substances. A bit later, it develops a premature internal physics engine, through the observation of the world around it. It then uses these representations to first crawl, then toddle, and eventually even walk, progressively updating...

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