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Python for TensorFlow Pocket Primer by Oswald Campesato
Prepares programmers for machine learning and deep learning/TensorFlow topics. The book 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 TensorFlowDataset.
FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Publisher Description
No detailed description available for "Python for TensorFlow Pocket Primer".
Table of Contents
1: Introduction to Python2: NumPy3: Pandas4: Matplotlib, Sklearn, and Seaborn 5: Introduction to TensorFlow6: TensorFlow Datasets ON THE COMPANION FILES! (available from the publisher for downloading by writing )
- Source code samples
- Figures
Long Description
This book covers basic Python, NumPy, pandas, data visualization, and introductory TensorFlow. It is meant to provide readers with a foundation in Python-related technologies (and a very short introduction to TensorFlow) to prepare them for machine learning and related topics. Companion files with code samples, figures, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at .
Details ISBN1683923618 Author Oswald Campesato Short Title PYTHON FOR TENSORFLOW PCKT PRI Publisher Mercury Learning & Information Language English ISBN-10 1683923618 ISBN-13 9781683923619 Format Paperback Year 2019 Imprint Mercury Learning & Information Country of Publication United States NZ Release Date 2019-06-03 Subtitle Pocket Primer DEWEY 005.133 Pages 218 Series Pocket Primer Publication Date 2019-06-17 Alternative 9781683923626 Audience Professional & Vocational US Release Date 2019-06-17 AU Release Date 2019-06-02 Country of Origin DE Product Class Description Computing: Professional & Programming UK Release Date 2019-06-17
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