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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 samplesCoversTensorFlow APIs and DatasetsAssumesthe reader has very limited experienceCompanion files with all of the source code examples(download from the publisher)
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'Schaum's Outlines' present all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
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