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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

The diabetes mellitus dataset

The dataset that we will be using for this project comes from the Pima Indians Diabetes dataset, as provided by the National Institute of Diabetes and Digestive and Kidney Diseases (and hosted by Kaggle).

The Pima Indians are a group of native Americans living in Arizona, and they are a highly studied group of people due to their genetic predisposition to diabetes. It is believed that the Pima Indians carry a gene that allows them to survive long periods of starvation. This thrifty gene allowed the Pima Indians to store in their bodies whatever glucose and carbohydrates they may eat, which is genetically advantageous in an environment where famines were common.

However, as society modernized and the Pima Indians began to change their diet to one of processed food, the rate of type 2 diabetes among them began to increase as well. Today, the incidence...

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Neural Network Projects with Python
Published in: Feb 2019
Publisher: Packt
ISBN-13: 9781789138900
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