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Synopsis
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About the Author
Campesato Oswald :
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
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Python for TensorFlow Pocket Primer
Published by
Mercury Learning and Information (edition 1), 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Seller: BooksRun, Philadelphia, PA, U.S.A.
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Perfect Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1683923618-11-1
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Python for TensorFlow Pocket Primer (Computing)
Published by
Mercury Learning & Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
Used
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Seller: Books From California, Simi Valley, CA, U.S.A.
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Python for TensorFlow Pocket Primer (Computing)
Published by
Mercury Learning & Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
Used
Paperback
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Fine. Seller Inventory # mon0004112583
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Python for Tensorflow Pocket Primer (Paperback or Softback)
Published by
Mercury Learning and Information 6/17/2019, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
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Paperback or Softback. Condition: New. Python for Tensorflow Pocket Primer. Book. Seller Inventory # BBS-9781683923619
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Python for TensorFlow Pocket Primer
Published by
Mercury Learning and Information, US, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Paperback
Seller: Rarewaves USA, HEBRON, KY, U.S.A.
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Paperback. Condition: New. As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher. FEATURES, A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x, Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics, Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators, Assumes the reader has very limited experience, Includes companion files with all of the source code examples (download from the publisher). Seller Inventory # LU-9781683923619
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Python for TensorFlow Pocket Primer
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Mercury Learning and Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Python for TensorFlow Pocket Primer
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ISBN 10: 1683923618
ISBN 13: 9781683923619
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Python for Tensorflow Pocket Primer
Published by
Mercury Learning and Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Python for TensorFlow Pocket Primer
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Mercury Learning and Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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Python for TensorFlow Pocket Primer
Published by
Mercury Learning and Information, 2019
ISBN 10: 1683923618
ISBN 13: 9781683923619
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