The difficulty of deploying various deep learning (DL) models on diverse DL hardware has
boosted the research and development of DL compilers in the community. Several DL …

Deep learning frameworks play a key rule to bridge the gap between deep learning theory
and practice. With the growing of safety-and security-critical applications built upon deep …

Deep learning (DL) frameworks are widely used for neural network model training and
prediction in a lot of areas such as computer vision, natural language processing, medical …

Deep learning (DL) frameworks have been extensively designed, implemented, and used in
software projects across many domains. However, due to the lack of knowledge or …

Gait authentication has emerged to be one of the new research directions for passive
biometric authentication. Together with the development of Deep Learning (DL), gait …

Today, machine learning offers a variety of services in the industry; including research,
translation, recommendation systems and security. Deep learning in particular has led to …