As part of the best-selling Pocket Primer series, this book is
designed to introduce beginners to TensorFlow 1.x fundamentals for
basic machine learning algorithms in TensorFlow. It is intended to
be a fast-paced introduction to various ""core""features of
TensorFlow, with code samples that cover deep learning and
TensorFlow basics. The material in the chapters illustrates how to
solve a variety of tasks after which you can do further reading to
deepen your knowledge. Companion files with all of the code samples
are available for downloading from the publisher by writing to
[email protected]. Features: Uses Python for code samples
Covers TensorFlow APIs and Datasets Assumes the reader has very
limited experience Companion files with all of the source code
examples (download from the publisher)
General
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