GPUs for unsupervised learning of representations
GPUs for unsupervised learning of representations
批准号:
389508-2010
负责人:
Bengio, Yoshua
金额:
$8.14万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments - Category 1 (<$150,000)
财政年份:
2009
资助国家:
加拿大
项目状态:
已结题
起止时间:
2009-01-01 至 2010-12-31
中文摘要
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英文摘要
New artificial intelligence algorithms called deep architectures were recently proposed in the machine learning community that have the potential to extract meaningful representations from vast amounts of data such as the images in the web and music collections. A meaningful representation for an image is one that captures what humans care about, e.g., what are the objects in it, but is not too sensitive to changes due to factors such as position, illumination, scale, etc. Similarly, meaningful representations of music separate factors such as timbre from the melodic content and other factors involved.
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