About the Lecture

This presentation includes 4 parts.

1. Reformulations of nonsmooth nonconvex optimization for training leaky ReLU neural network

2. Penalty methods and a smoothing proximal gradient algorithm

3. Computation of subgradients in stochastic gradient algorithms for nonsmooth nonconvex finite-sum optimization

4. Automatic choroid layer segmentation from OCT images using deep Learning