Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness

Pengzhan Jin, Lu Lu, Yifa Tang +1

The accuracy of deep learning, i.e., deep neural networks, can be characterized by dividing the total error into three main types: approximation error, optimization error, and gene…