This short monograph contains the material expanded from two tutorials that the authors
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …

The purpose of this article is to introduce the readers to the emerging technologies enabled
by deep learning and to review the research work conducted in this area that is of direct …

Deep learning has entered a period of designing, implementing, and deploying intensive
and diverse applications, which are now visible in numerous areas. Successful case studies …

There is a recent surge in research activities around “deep neural networks”(DNN). While
the notion of neural networks have enjoyed cycles of enthusiasm, which may continue its …

A tutorial survey of architectures, algorithms, and applications for deep learning – ERRATUM |
APSIPA Transactions on Signal and Information Processing | Cambridge Core Skip to main …

Deep learning belongs to the field of artificial intelligence, where machines perform tasks
that typically require some kind of human intelligence. Deep learning tries to achieve this by …

Deep learning is a thriving research area with many successful applications in different
fields. The article is written with a view to provide a state of the art review of deep learning …

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of
Artificial Intelligence and Machine Learning) is growing continuously and rapidly …

Introduction to Deep Learning | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …

Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …