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;ll LearnDefine, train, and evaluate machine learning models in TensorFlow 2 Apply fundamental concepts in machine learning, such as 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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(in Python) and figures. FEATURES: Provides an overview of the most important TensorFlow programming techniques used for machine learning, deep;
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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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technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book;
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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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on TensorFlow Who This Book Is For This book is ideal for data scientists who are familiar with C++ or Python and perform machine;
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related to machine learning Includes separate appendices for regular expressions, Keras, and TensorFlow 2;
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This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;
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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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learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading;
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machine learning algorithms. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement;
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Who This Book Is For Beginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2;
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learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For;
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* Enter the new era of second-generation machine learning with Python with this practical and insightful guide * Set up TensorFlow 1.x for actual;
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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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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;
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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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and TensorFlow Tackle basic machine learning obstacles Develop in the Jupyter Notebooks environment Who This Book Is For;
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learning library, TensorFlow. This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data;
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learning and discover the power of neural networks and deep learning Explore the structure of the TensorFlow framework and understand how to;
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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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fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;
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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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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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Einde inhoud
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