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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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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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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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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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Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially;
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capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into;
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computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to;
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book is forData scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will;
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Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch;
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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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more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern;
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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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separate appendices for regular expressions, Keras, and TensorFlow 2. Features: Provides the reader withbasic Python3 programming concepts;
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Fun and exciting projects to learn what artificial minds can create Key Features Code examples are in TensorFlow 2, which make it;
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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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Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will;
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TensorFlow 2.x Discover practical recipes to overcome various challenges faced while building computer vision models Enable machines to gain a;
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