Handbook of Research on Deep Learning Innovations and Trends

Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academicians.

Riassunto

Presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academics.

Dettagli sul prodotto

• Con la collaborazione di: Aboul Ella Hassanien (Editore), Ashraf Darwish (Editore), Chiranji Lal Chowdhary (Editore)
• Editore: Engineering Science Reference
• Lingue: Inglese
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 31.12.2019
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; Guide e manuali
• EAN: 9781522578628
• ISBN: 978-1-5225-7862-8
• Numero di pagine: 380
• Dimensioni (della confezione): 22.1 x 28.6 x 2.5 cm
• Peso (della confezione): 1’214 g
• Categorie: E-Commerce, E-Banking, Algorithms, Deep Learning, E-Government, Computer Vision, Medical imaging, Image processing, Biometrics, neuro-imaging, Encryption Systems