Samhita dutta (68 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning in Action: Real-World Applications is an in-depth exploration of how deep learning - a subset of artificial intelligence (AI) - is practically applied across diverse sectors of modern society. Rather than emphasizing theoretical formulations or only foundational algorithms, this book focuses on bridging the gap between research and implementation. It demonstrates how neural networks, when thoughtfully designed and deployed, solve real-world problems that affect industries, businesses, and people's daily lives.The book serves as both an instructional manual and a strategic roadmap for professionals, students, researchers, and organizations looking to understand and apply deep learning technologies effectively. Through carefully crafted chapters, readers are introduced to real use cases, domain-specific models, deployment pipelines, and ethical considerations - all framed in practical, actionable terms. …

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 260 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 260 pp. Englisch.…

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. PRINT ON DEMAND.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aprendizaje profundo en acción: Aplicaciones en el mundo real es una exploración en profundidad de cómo el aprendizaje profundo -un subconjunto de la inteligencia artificial (IA)- se aplica en la práctica en diversos sectores de la sociedad moderna. En lugar de hacer hincapié en las formulaciones teóricas o únicamente en los algoritmos fundamentales, este libro se centra en tender un puente entre la investigación y la aplicación. Demuestra cómo las redes neuronales, cuando se diseñan e implementan cuidadosamente, resuelven problemas del mundo real que afectan a industrias, empresas y a la vida cotidiana de las personas.El libro sirve tanto de manual de instrucciones como de hoja de ruta estratégica para profesionales, estudiantes, investigadores y organizaciones que deseen comprender y aplicar eficazmente las tecnologías de aprendizaje profundo. A través de capítulos cuidadosamente elaborados, se presentan a los lectores casos de uso reales, modelos específicos de dominio, conductos de despliegue y consideraciones éticas, todo ello enmarcado en términos prácticos y procesables.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 264 pp. Spanisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Exploring Deep Learning Models: Concepts and Applications' ofrece una introducción exhaustiva al aprendizaje profundo, que abarca sus fundamentos, las bases matemáticas, las arquitecturas de redes neuronales y sus aplicaciones en el mundo real. El libro explica modelos clave como las redes neuronales artificiales (RNA), las redes neuronales convolucionales (RNC), las redes neuronales recurrentes (RNR), las LSTM, las GRU, las redes neuronales de grafos (GNN), redes convolucionales de grafos (GCN), autoencodificadores, redes generativas adversarias (GAN) y transformadores. Combina conceptos teóricos con implementaciones prácticas en Python utilizando TensorFlow, Keras y PyTorch. El libro también explora aplicaciones en visión artificial, procesamiento del lenguaje natural, sanidad, finanzas, agricultura, robótica, Internet de las cosas (IoT) y sistemas inteligentes, al tiempo que aborda temas emergentes como la IA explicable (XAI), el aprendizaje por transferencia y la IA ética, lo que lo convierte en un recurso valioso para estudiantes, investigadores, docentes y profesionales.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware 264 pp. Spanisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 268 pp. Französisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - L'ouvrage ' Exploring Deep Learning Models: Concepts and Applications ' propose une introduction complète à l'apprentissage profond, en abordant ses principes fondamentaux, ses bases mathématiques, les architectures des réseaux neuronaux et ses applications concrètes. Cet ouvrage présente les principaux modèles tels que les réseaux neuronaux artificiels (RNA), les réseaux neuronaux convolutifs (RNC), les réseaux neuronaux récurrents (RNR), les LSTM, les GRU, les réseaux neuronaux sur graphes (GNN), les réseaux convolutifs sur graphes (GCN), les auto-encodeurs, les réseaux antagonistes génératifs (GAN) et les Transformers. Il allie des concepts théoriques à des implémentations pratiques en Python à l'aide de TensorFlow, Keras et PyTorch. L'ouvrage explore également des applications dans les domaines de la vision par ordinateur, du traitement du langage naturel, de la santé, de la finance, de l'agriculture, de la robotique, de l'Internet des objets (IoT) et des systèmes intelligents, tout en abordant des sujets émergents tels que l'IA explicable (XAI), l'apprentissage par transfert et l'IA éthique, ce qui en fait une ressource précieuse pour les étudiants, les chercheurs, les enseignants et les professionnels.…

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