Zhiqin John Xu

Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster

Understanding the effect of depth in deep learning is a critical problem. In this work, we utilize the Fourier analysis to empirically provide a promising mechanism to understand why feedforward deeper learning is faster. To this end, we separate a deep neural network, trained by normal stochastic…