Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library

Regular price RM109.00 MYR
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Compare to estimated retail price: RM225.00 MYR  

Harness AI to understand and generate human language.

If you're comfortable with Python and looking to delve into the fascinating intersection of artificial intelligence and human language, "Natural Language Processing with TensorFlow" is a compelling choice. Thushan Ganegedara guides you through both the theoretical and practical aspects of NLP, utilizing TensorFlow to breathe life into machines with the capacity for understanding and generating language. It's a hands-on exploration that will leave you equipped to tackle vast volumes of text data and advance in the ever-growing field of NLP.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library

Regular price RM109.00 MYR
Unit price
per
Compare to estimated retail price: RM225.00 MYR  
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ISBN: 9781788478311
Date of Publication: 2018-05-09
Format: Paperback
Related Collections: Science
Related Topics: Mathematics, Computers
Goodreads rating: 4.42
(rated by 12 readers)
 

Harness AI to understand and generate human language.

If you're comfortable with Python and looking to delve into the fascinating intersection of artificial intelligence and human language, "Natural Language Processing with TensorFlow" is a compelling choice. Thushan Ganegedara guides you through both the theoretical and practical aspects of NLP, utilizing TensorFlow to breathe life into machines with the capacity for understanding and generating language. It's a hands-on exploration that will leave you equipped to tackle vast volumes of text data and advance in the ever-growing field of NLP.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.