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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 have seen what machine learning is, and looked at the complete end-to-end workflow for every machine learning project. We have also seen what neural networks and deep learning is, and coded up our own neural network from scratch and in Keras.

For the rest of the book, we will create our own real-world neural network projects. Each chapter will cover one project, and the projects are listed in order of increasing complexity. By the end of the book, you will have created your own neural network projects in medical diagnosis, taxi fare predictions, image classification, sentiment analysis, and much more. In the next chapter, Chapter 2, Predicting Diabetes with Multilayer Perceptrons we will cover diabetes prediction with multilayer perceptrons (MLPs). Let's get started!

You have been reading a chapter from
Neural Network Projects with Python
Published in: Feb 2019
Publisher: Packt
ISBN-13: 9781789138900
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