The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training

AISTATS(2009)

引用 628|浏览620
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摘要
Whereas theoretical work suggests that deep ar- chitectures might be more e cient at represent- ing highly-varying functions, training deep ar- chitectures was unsuccessful until the recent ad- vent of algorithms based on unsupervised pre- training. Even though these new algorithms have enabled training deep models, many questions remain as to the nature of this di cult learning problem. ...
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