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Dropout: A Simple Way to Prevent Neural Networks from …
jmlr.orgDropout: A Simple Way to Prevent Neural Networks from Over tting Nitish Srivastava nitish@cs.toronto.edu Geo rey Hinton hinton@cs.toronto.edu Alex Krizhevsky kriz@cs.toronto.edu Ilya Sutskever ilya@cs.toronto.edu Ruslan Salakhutdinov rsalakhu@cs.toronto.edu Department of Computer Science University of Toronto 10 Kings …
Dropout: A Simple Way to Prevent Neural Networks from …
www.cs.toronto.eduDropout Present with probability p w-(a) At training time Always present pw-(b) At test time Figure 2: Left: A unit at training time that is present with probability pand is connected to units in the next layer with weights w. Right: At test time, the unit is always present and