TensorFlow Pocket 1 Primer

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 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 info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) This book introduces TensorFlow to people who have some knowledge of Python. Readers will learn about many “core” TensorFlow APIs, Linear Regression, Logistic Regression, and MultiLayer Perceptrons. This book is meant to provide both a foundation in TensorFlow and a rudimentary understanding of Deep Learning.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 Introduces beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. The book is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover deep learning and TensorFlow basics.