Understanding High Dimensionality and the Prevalence of Saddle Points in Deep Learning

In machine learning, particularly deep learning, high-dimensional optimization problems have become a significant focus of study. These problems arise due to the sheer number of parameters involved in training models, especially deep neural networks ...