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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

Overview of Neural Networks

Greetings to you, fellow sentient being; welcome to our exciting journey. The journey itself is to understand the concepts and inner workings behind an elusively powerful computing paradigm: the artificial neural network (ANN). While this notion has been around for almost half a century, the ideas accredited to its birth (such as what an agent is, or how an agent may learn from its surroundings), date back to Aristotelian times, and perhaps even to the dawn of civilization itself. Unfortunately, people in the time of Aristotle were not blessed with the ubiquity of big data, or the speeds of Graphical Processing Unit (GPU)-accelerated and massively parallelized computing, which today open up some very promising avenues for us. We now live in an era where the majority of our species has access to the building blocks and tools required to assemble artificially...

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