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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

Concluding our experiments

Such accounts bring an end to our explorations and experimentations with various neural network architectures. Yet, there is still a lot more to discuss and discover. After all, while our journey together comes close to fruition, yours has just begun! There are countless more use cases, architectural variations, and implementational details that we could go on to explore, yet doing so will deviate from our initial ambitions for this work. We wanted to achieve a detailed understanding of what neural networks actually do, how they operate, and under what circumstances they may be used, respectively. Furthermore, we want to develop an internal intuition of what is actually happening inside these networks, and why these architectures work as well as they do. The remainder of this chapter will be dedicated to solidifying this notion, allowing you to better...

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