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Neural Network Projects with Python

You're reading from   Neural Network Projects with Python The ultimate guide to using Python to explore the true power of neural networks through six projects

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789138900
Length 308 pages
Edition 1st Edition
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Author (1):
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James Loy James Loy
Author Profile Icon James Loy
James Loy
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Table of Contents (10) Chapters Close

Preface 1. Machine Learning and Neural Networks 101 FREE CHAPTER 2. Predicting Diabetes with Multilayer Perceptrons 3. Predicting Taxi Fares with Deep Feedforward Networks 4. Cats Versus Dogs - Image Classification Using CNNs 5. Removing Noise from Images Using Autoencoders 6. Sentiment Analysis of Movie Reviews Using LSTM 7. Implementing a Facial Recognition System with Neural Networks 8. What's Next? 9. Other Books You May Enjoy

Keeping up with machine learning

The field of machine learning and AI is constantly evolving, and new knowledge is constantly being discovered. How do we keep ourselves updated in this ever-changing field? Personally, I keep myself updated by reading books, scientific journals, and practicing on real datasets.

Books

The fact that you are reading this book shows that you are committed to improving your knowledge! Unfortunately, we cannot cover every single topic of machine learning in this book. If you enjoyed this book, you may wish to refer to the catalog of books that Packt has. You will find that Packt has books on nearly every single topic in machine learning. The Packt team also ensures that the reader stays up to date...

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