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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

NLP and sentiment analysis

NLP is a subfield in artificial intelligence (AI) that is concerned with the interaction of computers and human languages. As early as the 1950s, scientists were interested in designing intelligent machines that could understand human languages. Early efforts to create a language translator focused on the rule-based approach, where a group of linguistic experts handcrafted a set of rules to be encoded in machines. However, this rule-based approach produced results that were sub-optimal, and, often, it was impossible to convert these rules from one language to another, which meant that scaling up was difficult. For many decades, not much progress was made in NLP, and human language was a goal that AI couldn't reach—until the resurgence of deep learning.

With the proliferation of deep learning and neural networks in the image classification...

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