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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

The LSTM network

LSTMs are a variation of RNNs, and they solve the long-term dependency problem faced by conventional RNNs. Before we dive into the technicalities of LSTMs, it is useful to understand the intuition behind them.

LSTMs – the intuition

As we explained in the previous section, LSTMs were designed to overcome the problem with long-term dependencies. Let's assume we have this movie review:

Our task is to predict whether the reviewer liked the movie. As we read this review, we immediately understand that this review is positive. In particular, the following words (highlighted) are the most important:

If we think about it, only the highlighted words are important, and we can ignore the rest of the words...

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