发明名称 |
METHOD FOR TRAINING A LEARNING MACHINE HAVING A DEEP MULTI-LAYERED NETWORK WITH LABELED AND UNLABELED TRAINING DATA |
摘要 |
<p>The invention includes a method for training a learning machine having a deep multi-layered network, with labeled and unlabeled training data. The deep multi-layered network is a network having multiple layers of non-linear mapping. The method generally includes applying unsupervised embedding to any one or more of the layers of the deep network. The unsupervised embedding is operative as a semi-supervised regularizer in the deep network.</p> |
申请公布号 |
EP2243089(A2) |
申请公布日期 |
2010.10.27 |
申请号 |
EP20090708540 |
申请日期 |
2009.02.09 |
申请人 |
NEC LABORATORIES AMERICA, INC. |
发明人 |
WESTON, JASON;COLLOBERT, RONAN |
分类号 |
G06F15/18;G06F9/44 |
主分类号 |
G06F15/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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