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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 2. Predicting Diabetes with Multilayer Perceptrons FREE CHAPTER 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

Putting it all together

We have accomplished a lot in this book. Let's do a quick recap of the projects that we have built in each chapter, as well as the neural network architecture enabling them. This section also serves as a quick refresher for the key neural network concepts that we have covered in this book.

Machine Learning and Neural Networks 101

In Chapter 1, Machine Learning and Neural Networks 101, we started off by building the simplest, one-layer neural network, known as the perceptron. At its core, the perceptron is simply a mathematical function that takes in a set of input, performs some mathematical computation, and outputs the result of the computation. For the perceptron, the mathematical computation...

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