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2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to;
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well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow;
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of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep;
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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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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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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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TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands;
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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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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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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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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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Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques;
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About This Book * Your quick guide to implementing TensorFlow in your day-to-day machine learning activities * Learn advanced techniques;
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TensorFlow 2 and Keras.;
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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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. The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You'll then learn how to;
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Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models;
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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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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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Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. Key Features;
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Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab;
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application for increased accessibility * Learn how to use multiple GPUs for faster training using AWS In Detail Google's TensorFlow is a game;
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quite useful. What You Will Learn * Install TensorFlow and use it for CPU and GPU operations * Implement DNNs and apply them to solve;
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the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep;
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Einde inhoud
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