282 search results - page 2 / 57 » Parallel Training of Neural Networks for Speech Recognition |
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
NN
1997
Springer
13 years 9 months ago
1997
Springer
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...