Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations: Insights and Analysis
The author explores the phenomenon of early directional convergence in deep homogeneous neural networks with small initializations, shedding light on the training dynamics and behavior near saddle points.
