Synopsis
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, 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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Deep Learning Explained: Research, Application & Future Innovations
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9798902691884
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Deep Learning Explained
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798902691884
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Deep Learning Explained (Hardcover)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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, 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798902691884
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Expédition nationale : Etats-Unis
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Deep Learning Explained (Hardcover)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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, 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798902691884
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EUR 67,40
Expédition à EUR 42,48
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Expédition depuis Royaume-Uni vers Etats-Unis
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Deep Learning Explained (Hardcover)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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, 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798902691884
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EUR 101,66
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Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
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