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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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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;
Vergelijkbare producten zoals Learn TensorFlow 2.0
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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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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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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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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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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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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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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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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. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow;
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TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;
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Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;
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sources. You'll discover real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted;
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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 guide About This Book * Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow * Explore;
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compatible APIs across the TensorFlow ecosystem Learn and implement best practices for building data ingestion pipelines using TF 2.0 APIs Migrate;
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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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A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0 Key Features Understand the basics of machine;
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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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Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;
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