Deep learning explained research de rakesh pathak (4 resultados)

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 58,76
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Condición: New.

- Tapa dura
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 67,66
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Condición: New.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 84,00
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Taschenbuch. Condición: Neu. Neuware - Deep Learning Explained: Research Applications and Future Innovation presents a comprehensive journey from fundamental concepts to advanced research and future trends in deep learning, beginning with the foundations of artificial intelligence, mathematical principles, and neural network bas…ics, and progressing through core architectures such as deep feedforward networks, convolutional neural networks, recurrent models, and transformer-based systems. The book emphasizes research methodologies, training strategies, evaluation, and reproducibility, followed by in-depth exploration of real-world applications in healthcare, natural language processing, computer vision, finance, and cybersecurity. It also addresses ethical considerations, challenges, and limitations of deep learning, while highlighting emerging innovations such as self-supervised learning, edge AI, and explainable models, concluding with future research directions, case studies, and pathways for translating academic research into impactful technological innovation.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 99,18
Envío por EUR 65,68Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. Neuware - Deep Learning Explained: Research Applications and Future Innovation presents a comprehensive journey from fundamental concepts to advanced research and future trends in deep learning, beginning with the foundations of artificial intelligence, mathematical principles, and neural network basics, an…d progressing through core architectures such as deep feedforward networks, convolutional neural networks, recurrent models, and transformer-based systems. The book emphasizes research methodologies, training strategies, evaluation, and reproducibility, followed by in-depth exploration of real-world applications in healthcare, natural language processing, computer vision, finance, and cybersecurity. It also addresses ethical considerations, challenges, and limitations of deep learning, while highlighting emerging innovations such as self-supervised learning, edge AI, and explainable models, concluding with future research directions, case studies, and pathways for translating academic research into impactful technological innovation.