Deep learning explained research di rakesh pathak (4 risultati)
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 58,76
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 67,66
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 84,00
EUR 64,25 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: 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 ba…sics, 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.
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 99,18
EUR 65,68 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: 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, a…nd 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.
