Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Deep Learning Explained: Research, Application &...
Imagen de archivo
Deep Learning Explained: Research, Application & Future Innovations
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9798902691884
Comprar nuevo
EUR 67,12
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deep Learning Explained
Impresión bajo demandaLibrería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L1-9798902691884
Comprar nuevo
EUR 62,09
Envío por EUR 7,76
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deep Learning Explained (Hardcover)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: 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. Nº de ref. del artículo: 9798902691884
Comprar nuevo
EUR 72,72
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Deep Learning Explained (Hardcover)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: 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. Nº de ref. del artículo: 9798902691884
Comprar nuevo
EUR 67,40
Envío por EUR 42,48
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Deep Learning Explained (Hardcover)
Impresión bajo demandaLibrería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: 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. Nº de ref. del artículo: 9798902691884
Comprar nuevo
EUR 101,66
Envío por EUR 31,73
Se envía de Australia a Estados Unidos de America
Se envía de Australia a Estados Unidos de America
Cantidad disponible: 1 disponibles