Python for TensorFlow Pocket Primer

Python for TensorFlow Pocket Primer

$38.99

Publication Date: 17th June 2019

No detailed description available for "Python for TensorFlow Pocket Primer". Read More
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No detailed description available for "Python for TensorFlow Pocket Primer". Read More
Description
No detailed description available for "Python for TensorFlow Pocket Primer".
Details
  • Price: $38.99
  • Pages: 218
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Series: Pocket Primer
  • Publication Date: 17th June 2019
  • ISBN: 9781683923619
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Programming / General
Author Bio
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).

Table of Contents

1: Introduction to Python

2: NumPy

3: Pandas

4: Matplotlib, Sklearn, and Seaborn

5: Introduction to TensorFlow

6: TensorFlow Datasets

ON THE COMPANION FILES!

(available from the publisher for downloading by writing info@merclearning.com)

  • Source code samples
  • Figures

No detailed description available for "Python for TensorFlow Pocket Primer".
  • Price: $38.99
  • Pages: 218
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Series: Pocket Primer
  • Publication Date: 17th June 2019
  • ISBN: 9781683923619
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Programming / General
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).

1: Introduction to Python

2: NumPy

3: Pandas

4: Matplotlib, Sklearn, and Seaborn

5: Introduction to TensorFlow

6: TensorFlow Datasets

ON THE COMPANION FILES!

(available from the publisher for downloading by writing info@merclearning.com)

  • Source code samples
  • Figures