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efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these;
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Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;
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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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layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts;
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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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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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. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;
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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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applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;
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The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd;
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Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;
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Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;
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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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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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text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This;
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deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book;
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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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edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters Learn advanced exploration techniques;
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learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on;
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content that will help you get started with deep learning. This book is designed to help you if you're a beginner looking to work on deep learning;
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Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple;
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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates;
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A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;
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, clustering, and so on) with the relevant Go packages. Finally, the reader will have a solid machine learning mindset and a powerful Go toolkit;
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on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;
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Einde inhoud
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