TensorFlow Pocket Primer
(Sprache: Englisch)
No detailed description available for "TensorFlow Pocket Primer".
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Produktinformationen zu „TensorFlow Pocket Primer “
No detailed description available for "TensorFlow Pocket Primer".
Inhaltsverzeichnis zu „TensorFlow Pocket Primer “
1: Introduction to TensorFlow2: Useful TensorFlow APIs
3: TensorFlow Datasets
4: Linear Regression
5: Logistic Regression
On The Companion Files!
(available from the publisher for downloading by writing to info@merclearning.com)
- Source code samples
- Figures
Autoren-Porträt von Oswald Campesato
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).
Bibliographische Angaben
- Autor: Oswald Campesato
- 2019, 152 Seiten, Maße: 15,2 x 22,9 cm, Kartoniert (TB), Englisch
- Verlag: De Gruyter
- ISBN-10: 1683923642
- ISBN-13: 9781683923640
Sprache:
Englisch
Pressezitat
"TensorFlow Pocket Primer introduces readers to TensorFlow 1x basics for machine learning algorithms, and is designed to be an introduction used either to supplement a course or for self-learning. It uses Python to cover code examples, assumes limited experience and background in the subject, and comes with supporting reference files containing all source code examples as a download from the publisher. From Cloud-based platforms to useful components of TensorFlow and their real-world applications, this primer will get anyone up and running in the shortest amount of time possible."Kommentar zu "TensorFlow Pocket Primer"
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