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Nonsmooth Nonconvex Optimization for Training Deep Neural Networks

来源:数学学院 日期:2022/06/20 14:39:10 点击数:
时间 2022-06-24 13:45 地点 腾讯会议会议号:885 416 848;密码:0624
报告人 陈小君 内容简介 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

时间:2022-06-24 13:45

地点:腾讯会议会议号:885 416 848;密码:0624

报告人:陈小君

 

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



作者:王承竞   


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