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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

What's Next?

We did it! We have created six different neural network projects, each with their own unique architecture. In this final chapter, let's recap on what we have accomplished. We will also look at some of the recent advancements in neural networks and deep learning that were not covered in previous chapters. Finally, we will peer ahead and see what the future holds for neural networks and AI in general.

Specifically, these are the topics that we'll cover in this chapter:

  • A recap of the different neural networks that we used in this book
  • A recap of key neural network concepts
  • Cutting edge advancements in neural networks
  • The limitations of neural networks
  • The future of AI and machine learning
  • Keeping up with machine learning
  • Favorite machine learning tools
  • What will you create?
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