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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

Summary

In this chapter, we did a quick recap of all the different neural networks and key concepts that were covered in this book. We then looked at some cutting-edge developments in neural networks, including generative adversarial networks and deep reinforcement learning. Even though the potential of neural networks may seem boundless at times, it is important for us to remember that there are limitations to what the current state of neural networks can accomplish. Next, we surveyed the landscape of machine learning and AI in general, and we saw what AI could look like in the near future. We also offered some tips to readers on keeping up with the constantly evolving field of machine learning.

Finally, I would like to conclude this book by asking the following question—what will you create? We live in an age of highly advanced technology, where access to information...

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