Handbook Deep Learning Applications (59 results)

Taschenbuch. Condition: Neu. Neuware - Artificial Intelligence is transforming the world faster than ever before, and the demand for skilled AI engineers continues to grow across every industry. Whether you are a beginner exploring artificial intelligence for the first time or a developer looking to expand your technical skills, AI Engineering Handbook provides a practical and easy to understand roadmap for mastering modern AI development.This comprehensive guide introduces the core foundations of AI engineering while helping readers build real world skills in machine learning, deep learning, generative AI, neural networks, prompt engineering, Python programming, and AI automation.Inside this book, you will learn how artificial intelligence systems work, how machine learning models are trained, and how AI engineers design intelligent applications used in today's technology driven world. From understanding data and algorithms to building AI powered applications, this handbook breaks down complex concepts into clear, practical lessons that are accessible for beginners and valuable for aspiring professionals.You will also explore the latest advancements in generative AI, large language models, AI assistants, and intelligent automation tools that are reshaping businesses and careers globally. With practical explanations and real world examples, this book equips you with the knowledge needed to confidently begin your journey in AI engineering.Inside This Book, You Will Discover: - Artificial Intelligence fundamentals explained in simple terms- Machine Learning and Deep Learning essentials- Python programming for AI development- Neural Networks and Generative AI concepts- Prompt Engineering and AI automation workflows- Real world AI applications and deployment basics- AI ethics, security, and responsible AI practices- Career guidance for future AI engineersBeginner friendly explanations with practical insightsWhether your goal is to become an AI engineer, machine learning developer, data scientist, software engineer, or technology entrepreneur, this book gives you the foundational knowledge and practical understanding needed to succeed in one of the world's fastest growing industries.If you are ready to explore the future of artificial intelligence, build valuable technical skills, and understand the technologies shaping tomorrow's digital world, then AI Engineering Handbook is the perfect place to begin.Start your AI journey today and discover how to build intelligent systems that can transform ideas into innovation.…

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Paperback. Condition: Brand New. 344 pages. 9.19x6.13x0.78 inches. In Stock.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 392 | Sprache: Englisch | Produktart: Bücher | This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain¿computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.…

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Hardcover. Condition: Brand New. 383 pages. 9.50x6.50x1.00 inches. In Stock.

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