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Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key Features Apply the;
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learning models from prototyping to production Book DescriptionPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide;
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efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some;
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of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation;
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Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross;
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Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;
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Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning;
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Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision;
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Make learning the multiplication tables easy and entertaining for kids of all learning styles! Packed with teacher-tested games, rhymes;
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. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;
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Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and;
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. Next, you'll jump into simple classification programs for hand-writing analysis. Once you've tackled the basics of deep learning, you move on;
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even build other neural networks. By the end of this book, you will have hands-on experience with eight reinforcement learning projects, each;
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neuroevolution to develop agents for playing Atari games Who this book is forThis book is for machine learning practitioners, deep learning researchers;
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real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific;
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real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific;
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Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business;
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decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to;
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Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;
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Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;
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Here are over 370 simple hands-on games and activities that will help you add fun, excitement, and meaningful learning experiences to any;
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required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on;
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Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key;
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cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Deploying computer vision, audio, and;
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basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.;
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easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential;
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intelligence and machine learning services available on AWS. With this book, you'll work through hands-on exercises and learn to use these services to;
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