Competitive Learning with Feedforward Supervisory Signal for Pre-trained Multilayered Networks

Takashi Shinozaki, Yasushi Naruse

Invalid Date (modified: Dec 23, 2013) ICLR 2014 workshop submission readers: everyone
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  • Abstract: We propose a novel learning method for multilayered neural networks which uses feedforward supervisory signal and associates classification of a new input with that of pre-trained input. The proposed method effectively uses rich input information in the earlier layer and enables robust and simultaneous leaning on multilayer neural network.
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