Standardized DNN models that have been proved to perform well on machine...
Hyper-parameter optimization is crucial for pushing the accuracy of a de...
The rapid evolution of deep neural networks is demanding deep learning (...
Recursive neural networks have widely been used by researchers to handle...
The employment of high-performance servers and GPU accelerators for trai...