The advent of deep learning has been transformative for many difficult problems in machine learning, often delivering breakthrough performance compared with previous techniques. This paradigm shift has swept the field of natural language processing, where an emerging deep-learning approach has set the state of the art in text categorization, information extraction, recommendations, and more. Deep Learning with Text is the first practitioner's guide to deep learning with text. With it, you'll learn how to use "batteries-included" libraries in Python-including spaCy, genism, and Keras-to apply this modern, deep-learning approach to solve real-world problems with natural language text. Until now, much of the published material about deep learning has been sequestered in research papers and graduate-level academic textbooks. This practical book will enable software developers and data scientists to build new products and systems that have only become possible in the past couple of years.
Publisher: O'Reilly Media, Inc, USA
Number of pages: 250
Weight: 666 g
Dimensions: 250 x 150 x 15 mm
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