deep neural networks

On training algorithms for neural networks

Jinchao Xu, Professor, Applied Mathematics and Computational Sciences

Nov 21, 12:00 - 13:00

B9 L2 R2322 H1

Deep learning deep neural networks

In this talk, I will first give a convergence analysis of gradient descent (GD) method for training neural networks by relating them with finite element method. I will then present some acceleration techniques for GD method and also give some alternative training algorithms