20210814_Arnulf Jentzen_Convergence analysis for the GD optimization method_哔哩哔哩_bilibili

Name: 20210814_Arnulf Jentzen_Convergence analysis for the GD optimization method
Uploaded: 2021-08-14T14:11:37.000Z
Duration: 47 min 33 s
Channel: 机器学习与科学应用
Description: 本次报告，Arnulf Jentzen (University of Muenster, The Chinese University of Hong Kong) 的报告是Convergence analysis for the GD optimization method in the training of ANN with ReLU activation for piecewise linear target functions。slides后期放在机器学习与科学应用(c2sml.cn)。

机器学习与科学应用

本次报告，Arnulf Jentzen (University of Muenster, The Chinese University of Hong Kong) 的报告是Convergence analysis for the GD optimization method in the training of ANN with ReLU activation for piecewise line, 视频播放量 518、弹幕量 0、点赞数 17、投硬币枚数 2、收藏人数 10、转发人数 2, 视频作者 机器学习与科学应用, 作者简介 分享机器学习与科学应用相关优质教学与科研资源，相关视频：20210814_Jinchao Xu_Barron Spaces，20211030_张仕俊_Deep Network Approximation Achieving Arbitrary Error with Fixed Siz，20210828_纪辉_Self-supervised Deep Learning for Solving Inverse Problems，20211030_杨海钊_Deep Network Approximation Error Characterization in term of Width，20210509_王涵_强化动力学简介，20210828_应乐兴_Solving Inverse Problems with Deep Learning，20210703_张林峰_DeePKS: a machine learning assisted electronic structure model，20210619_Zhong Li,Qianxiao Li_Modelling Temporal Data: from RNNs to CNNs，20210417_许志钦_理解神经网络的训练过程，20210703_王涵_基于深度学习的分子动力学模拟