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通过半监督嵌入深度学习Deep Learning via Semi-Supervised Embedding |
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| 课程网址: | http://videolectures.net/icml08_ratle_dls/ |
| 主讲教师: | Frederic Ratle |
| 开课单位: | 洛桑大学 |
| 开课时间: | 2008-08-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel methods can be applied to deep multi-layer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This provides a simple alternative to existing approaches to deep learning whilst yielding competitive error rates compared to those methods, and existing shallow semi-supervised techniques. |
| 关 键 词: | 浅半监督学习技术; 非线性嵌入算法; 正则化器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-19：lxf |
| 阅读次数: | 126 |