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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

Deep Learning for Natural Language Processing

The emergence of deep learning has had a strong positive impact on many fields, and NLP is no exception. By now, you can appreciate that deep learning approaches have given us accuracies like never before, and this has helped us improve in many areas. There are several tasks in NLP that have gained tremendously from deep learning approaches. Applications that use sentiment prediction, machine translation, and chatbots previously required a lot of manual intervention. With deep learning and NLP, these tasks are completely automated and bring with them impressive performance. The simple, high-level view shown in Figure 4.2 shows how deep learning can be used for processing natural language. Deep learning provides us with not only great representations of natural language that machines can understand but also very powerful modeling approaches well suited for tasks in NLP.

Figure 4.2: Deep learning for NLP

That being...

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