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A Short Tutorial on Convolutional Neural Networks and Recurrent Neural Networks
06/03
2019
- Title A Short Tutorial on Convolutional Neural Networks and Recurrent Neural Networks
- Speaker
- Date
- Venue
Abstract
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CAS Key Laboratory of Theoretical Physics | |||
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Institute of Theoretical Physics | |||
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Chinese Academy of Sciences | |||
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Seminar | |||
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Title 题目 |
A Short Tutorial on Convolutional Neural Networks and Recurrent Neural Networks | ||
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Speaker 报告人 |
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Affiliation 所在单位 |
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Date 日期 |
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Venue 地点 |
6420 ITP South Building | ||
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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. | ||
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Contact Person 所内联系人 |
Pan Zhang | ||