When training the parameters of a linear dynamical model, the gradient
d...
When an online learning algorithm is used to estimate the unknown parame...
State-of-the-art neural networks are vulnerable to adversarial examples;...
Training a neural network with the gradient descent algorithm gives rise...
While training error of most deep neural networks degrades as the depth ...