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.
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Oswald Campesato (San Francisco, CA) specializes in Data Cleaning, Java, Android, and CSS3/SVG graphics. He is the author/co-author of over twenty-five books including Android Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).
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