Oswald Campesato

Tensorflow Pocket Primer

• Broschiertes Buch

Produktbeschreibung

No detailed description available for "TensorFlow Pocket Primer".

Produktdetails

• Pocket Primer
• Verlag: De Gruyter
• Seitenzahl: 152
• Erscheinungstermin: 3. Juni 2019
• Englisch
• Abmessung: 229mm x 152mm x 10mm
• Gewicht: 235g
• ISBN-13: 9781683923640
• ISBN-10: 1683923642
• Artikelnr.: 54161753

Autorenporträt

Oswald Campesato is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, Python, Data Science, and GPT-4. He is the author/co-author of over forty books including Python and Machine Learning, Data Cleaning, and NLP for Developers (all Mercury Learning and Information).

Inhaltsangabe

1: Introduction to TensorFlow

2: 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 [e-mail])

• Source code samples
• Figures

Rezensionen

"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."