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A Short Tutorial on Convolutional Neural Networks and Recurrent Neural Networks
2019-06-03  【 】【打印】【关闭

CAS Key Laboratory of Theoretical Physics

Institute of Theoretical Physics

Chinese Academy of Sciences

Seminar

Title

题目

A Short Tutorial on Convolutional Neural Networks and Recurrent Neural Networks

Speaker

鸿运国际代理人

朱占星

Affiliation

所在单位

北京大学数学科学学院

Date

日期

2019年6月3日(周一)上午9:00
 

Venue

地点

鸿运国际代理6420 ITP South Building

Abstract

摘要

In this tutorial, I will elaborate two powerful deep learning models, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), particularly suitable for modeling image and sequence data, respectively. I will introduce their architectures, the design principle and difficulties of training. Some variants will be introduced, such as ResNet, DenseNet, Long-Short Memory Network (LSTM), attention mechanism, etc. Various examples will be provided and analyzed as well.

Contact Person

所内联系人

Pan Zhang
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