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The Deep Learning Workshop

You're reading from   The Deep Learning Workshop Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839219856
Length 474 pages
Edition 1st Edition
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Authors (5):
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Nipun Sadvilkar Nipun Sadvilkar
Author Profile Icon Nipun Sadvilkar
Nipun Sadvilkar
Thomas Joseph Thomas Joseph
Author Profile Icon Thomas Joseph
Thomas Joseph
Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Mohan Kumar Silaparasetty Mohan Kumar Silaparasetty
Author Profile Icon Mohan Kumar Silaparasetty
Mohan Kumar Silaparasetty
Mirza Rahim Baig Mirza Rahim Baig
Author Profile Icon Mirza Rahim Baig
Mirza Rahim Baig
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Toc

Table of Contents (9) Chapters Close

Preface
1. Building Blocks of Deep Learning 2. Neural Networks FREE CHAPTER 3. Image Classification with Convolutional Neural Networks (CNNs) 4. Deep Learning for Text – Embeddings 5. Deep Learning for Sequences 6. LSTMs, GRUs, and Advanced RNNs 7. Generative Adversarial Networks Appendix

Recurrent Neural Networks

How does our brain process a sentence? Let's try to understand how our brain processes a sentence as we read it. You see some terms in a sentence, and you need to identify the sentiment contained in the sentence (positive, negative, neutral). Let's look at the first term – "I":

Figure 5.8 Sentiment analysis for the first term

"I" is neutral, so our classification (neutral) is appropriate. Let's look at another term:

Figure 5.9: Sentiment analysis with two terms

With the term "can't," we need to update our assessment of the sentiment. "I" and "can't" together typically have a negative connotation, so our current assessment is updated as "negative" and is marked with a cross. Let's look at the next couple of words:

Figure 5.10: Sentiment analysis with four terms

After the...

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