A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.

This paper aims to explore seven commonly used optimization algorithms in deep learning: SGD, Momentum-SGD, NAG, AdaGrad, RMSprop, AdaDelta, and Adam. Based on an overview of their theories and ...