Nicolò Navarin - Böcker
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3 produkter
3 produkter
Recent Advances in Big Data and Deep Learning
Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019
Häftad, Engelska, 2019
1 624 kr
Skickas inom 10-15 vardagar
This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.
Recent Trends in Learning From Data
Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
Inbunden, Engelska, 2020
1 472 kr
Skickas inom 10-15 vardagar
Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models.
Recent Trends in Learning From Data
Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
Häftad, Engelska, 2021
1 472 kr
Skickas inom 10-15 vardagar
Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models.