Big data powered Deep Learning (DL) and its applications have blossomed in recent years,
fueled by three technological trends: a large amount of digitized data openly accessible, a …

Deep learning (DL) is becoming increasingly popular in several application domains and
has made several new application features involving computer vision, speech recognition …

Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-
art results in various domains, such as image recognition and natural language processing …

With increasing number of open-source deep learning (DL) software tools made available,
benchmarking DL software frameworks and systems is in high demand. This paper presents …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Deep learning, driven by large neural network models, is overtaking traditional machine
learning methods for understanding unstructured and perceptual data domains such as …

Deep learning (DL) has become a key technique for solving complex problems in scientific
research and discovery. DL training for science is substantially challenging because it has to …

Deep Learning (DL) has achieved remarkable progress over the last decade on various
tasks such as image recognition, speech recognition, and natural language processing. In …

Nowadays, Internet of Things (IoT) gives rise to a huge amount of data. IoT nodes equipped
with smart sensors can immediately extract meaningful knowledge from the data through …

Deep Learning (DL) has recently achieved tremendous success. A variety of DL frameworks
and platforms play a key role to catalyze such progress. However, the differences in …