As part of the best-selling Pocket Primer series, this book
provides an overview of the major concepts to program using
TensorFlow 2. The focus of this book is on basic programming
instructions used in machine learning and deep learning. Includes
companion files with source code (in Python) and figures. FEATURES:
Provides an overview of the most important TensorFlow programming
techniques used for machine learning, deep learning, linear and
logical regression, etc. Covers TensorFlow 2 and previous versions
that run with TF2. Includes companion files with source code (in
Python) and figures.
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