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GPUs for unsupervised learning of representations

GPUs for unsupervised learning of representations
用于无监督表示学习的 GPU
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

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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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Novel generative active learning algorithms for exploring the space of antimicrobial peptides to respond to antibiotics resistance
  • 批准号:
    DH-2022-00042
  • 项目类别:
    Discovery Horizons
  • 资助金额:
    $7.28万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
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  • 批准号:
    RGPIN-2019-04822
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.48万
  • 财政年份:
    2022
  • 负责人:
    Bengio, Yoshua
  • 依托单位:
Autonomous Deep Learning for AI
  • 批准号:
    RGPIN-2019-04822
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.48万
  • 财政年份:
    2021
  • 负责人:
    Bengio, Yoshua
  • 依托单位:
Autonomous Deep Learning for AI
  • 批准号:
    RGPIN-2019-04822
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.48万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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