Description: Tensorflow Pocket Primer, Paperback by Campesato, Oswald, ISBN 1683923642, ISBN-13 9781683923640, Like New Used, Free shipping in the US Campesato, an author who specializes in data cleaning, Python, Android, and CSS3/SVG graphics, introduces beginners to TensorFlow fundamentals for basic machine learning algorithms in the open source framework TensorFlow. He details core features of TensorFlow, with code samples that cover deep learning and TensorFlow. He explains how to solve various tasks using the framework, including simple functionality, built-in APIs, datasets, linear regression, and logistic regression. All code samples are Python scripts. Some familiarity with Python and how to launch Python code from the command line is assumed, as well as knowledge of basic linear algebra, probability and statistics, and basic concepts in calculus, in addition to familiarity with neural networks and cross entropy. Th does not cover Convolutional Neural Networks, Recurrent Neural Networks, or Long Short Term Memory, or in-depth details on TensorFLow layers and estimators. Distributed in North America by Stylus Publishing and Distribution. Annotation ©2019 Ringgold, Inc., Portland, OR ()
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Restocking Fee: No
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Book Title: Tensorflow Pocket Primer
Number of Pages: 152 Pages
Publication Name: Tensorflow Pocket Primer
Language: English
Publisher: Mercury Learning & Information
Publication Year: 2019
Subject: Programming / General, Computer Science, Calculus, Programming Languages / Python
Type: Textbook
Item Weight: 8.3 Oz
Author: Oswald Campesato
Item Length: 9 in
Subject Area: Mathematics, Computers
Item Width: 6 in
Series: Computing Ser.
Format: Trade Paperback
