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This book offers a timely snapshot and extensive practical and
theoretical insights into the topic of learning from data. 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. They describe important theoretical
concepts, presenting in detail all the necessary mathematical
formalizations, and offer essential guidance on their use in
current big data research.
This book offers a timely snapshot and extensive practical and
theoretical insights into the topic of learning from data. 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. They describe important theoretical
concepts, presenting in detail all the necessary mathematical
formalizations, and offer essential guidance on their use in
current big data research.
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.
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