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What Gradient Descent Method clstm is using? #72

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kendemu opened this issue Mar 30, 2016 · 1 comment
Open

What Gradient Descent Method clstm is using? #72

kendemu opened this issue Mar 30, 2016 · 1 comment

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@kendemu
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kendemu commented Mar 30, 2016

What Gradient Descent Method clstm is using? SGD? AdaGrad? NAG? RMSProp? Adam?
I want to increase the speed of the learning.
If clstm is not using adaptive learning rate algorithm, I also have to ask that this method can change the learning rate dynamically to implement adaptive learning rate algorithm:

net.setLearningRate(1e-4,0.9)
@kendemu
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kendemu commented Mar 30, 2016

Oh, I found this method in the test-clstm.py. SGD+momenum.

clstm.sgd_update(net)

Is there adagrad, NAG, or faster solver? SGD is quite slow.

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@kendemu