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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
book

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

by Taweh Beysolow II
September 2018
Beginner to intermediate
158 pages
3h 20m
English
Apress
Content preview from Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
© Taweh Beysolow II 2018
Taweh Beysolow IIApplied Natural Language Processing with Python https://doi.org/10.1007/978-1-4842-3733-5_2

2. Review of Deep Learning

Taweh Beysolow II1 
(1)
San Francisco, California, USA
 

You should be aware that we use deep learning and machine learning methods throughout this chapter. Although the chapter does not provide a comprehensive review of ML/DL, it is critical to discuss a few neural network models because we will be applying them later. This chapter also briefly familiarizes you with TensorFlow, which is one of the frameworks utilized during the course of the book. All examples in this chapter use toy numerical data sets, as it would be difficult to both review neural networks and learn to work with text data ...

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Publisher Resources

ISBN: 9781484237335