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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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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.