2019
Initialization of ReLUs for Dynamical Isometry
NeurIPS 2019poster
Deep learning relies on good initialization schemes and hyperparameter choices prior to training a neural network. Random weight initializations induce random network ensembles, which give rise to the trainability, training speed, and sometimes also generalization ability of an instance. In addition…