TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli
A hands-on introduction to learning algorithms TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google.
TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters
TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters
Catégories:
Année:
2016
Editeur::
Bleeding Edge Press
Langue:
english
Pages:
305
ISBN 10:
1939902355
ISBN 13:
9781939902351
Fichier:
PDF, 10.89 MB
IPFS:
,
english, 2016
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