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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;
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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;
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TensorFlow ist Googles herausragendes Werkzeug fA1/4r das maschinelle Lernen, und dieses Buch macht es zugAnglich, selbst wenn Sie bisher;
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This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train;
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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;
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practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow;
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Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the;
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techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;
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This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author;
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Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features;
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Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable;
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As part of the best-selling Pocket Primer series, this book provides an overview of the major concepts to program using TensorFlow 2. The;
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TensorFlow 2 and Keras.;
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Get to grips with key structural changes in TensorFlow 2.0 Key Features Explore TF Keras APIs and strategies to run GPUs, TPUs, and;
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you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from;
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Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;
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A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0 Key Features Understand the basics of machine;
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This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to;
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Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book;
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This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn;
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TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training;
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Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book * Skill up;
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