图 书 馆
学习深层生成模型Learning Deep Generative Models |
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| 课程网址: | http://videolectures.net/deeplearning2016_salakhutdinov_generativ... |
| 主讲教师: | Ruslan Salakhutdinov |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2016-08-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this tutorial I will discuss mathematical basics of many popular deep generative models, including Restricted Boltzmann Machines (RBMs), Deep Boltzmann Machines (DBMs), Helmholtz Machines, Variational Autoencoders (VAE) and Importance Weighted Autoencoders (IWAE). I will further demonstrate that these models are capable of extracting meaningful representations from high-dimensional data with applications in visual object recognition, information retrieval, and natural language processing. |
| 关 键 词: | 机器; 编码器; 数据处理 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-27：yxd |
| 最后编审: | 2020-11-27：yxd |
| 阅读次数: | 32 |