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As part of thebest-selling Pocket Primer series, this bookis designed to introducebeginners to TensorFlow 1.x fundamentals for basic machine learning algorithmsin TensorFlow. It is intended to be a fast-paced introduction to various “core”features of TensorFlow, with code samples that cover deep learning andTensorFlow basics. The material in the chapters illustrates how to solve avariety of tasks after which you can do further reading to deepen yourknowledge. Companion files with all of the code samples are available fordownloading from the publisher by writing to info@merclearning.com.

Features:

UsesPython for code samples
CoversTensorFlow APIs and Datasets
Assumesthe reader has very limited experience
Companion files with all of the source code examples(download from the publisher)

As part of thebest-selling Pocket Primer series, this bookis designed to introducebeginners to TensorFlow 1.x fundamentals for basic machine learning algorithmsin TensorFlow. It is intended to be a fast-paced introduction to various “core”features of TensorFlow, with code samples that cover deep lea

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