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--- projects:dnnadapt:start [2015/02/11 16:25] – hj
+++ projects:dnnadapt:start [2015/02/11 16:25] (current) – hj
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 Fast adaptation of deep neural networks (DNN) is an important research topic in deep learning. Here, we have proposed a general adaptation scheme for DNN based on discriminant condition codes, which are directly fed to various layers of a pre-trained DNN through a new set of connection weights.
-**References**: \\\\
+**References**: \\
 [1] S. Xue, O. Abdel-Hamid, H. Jiang, L. Dai, Q. Liu, "[[http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6874531&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6874531|Fast Adaptation of Deep Neural Network based on Discriminant Codes for Speech Recognition]]," //IEEE/ACM Trans. on Audio, Speech and Language Processing//, pp.1713-1725, Vol. 22, No. 12, December 2014. \\ \\