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PRMU 2014-03-14
15:30		 Tokyo   Experimental study on effect of pre-training in deep learning through visualization of unit outputs
Tsubasa Ochiai (Doshisha Univ./NICT), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-210		 To clarify the capability of recent powerful classifier concept, Deep Neural Networks (DNN), we experimentally
investig... [more]		 PRMU2013-210
pp.253-258
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