TensorFlow 2.0 pocket primer /

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Bibliographic Details
Author / Creator:Campesato, Oswald, author.
Imprint:Dulles, Virginia : Mercury Learning and Information, [2020]
©2020
Description:1 online resource (xx, 230 pages) : illustrations
Language:English
Series:Pocket primer series
Pocket primer.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13456296
Hidden Bibliographic Details
ISBN:9781683924616
1683924614
9781683924593
1683924592
9781683924609
1683924606
Notes:Includes index.
Print version record.
Summary:As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge
Other form:Print version: Campesato, Oswald. TensorFlow 2.0 pocket primer. Dulles, Virginia : Mercury Learning and Information, [2020] 9781683924609