DeepNetworkTrainingRBM

[dry11orange]

win7 64
Shark-4.0.1
DeepNetworkTrainingRBM

I change the flag_rbm, test error(0.26, 0.06) will change a lot, And they don't have relation at all.
How could this happen?

DeepNetworkTrainingRBM.txt

[Ulfgard]

could you tell me exactly what you a) do b) observe and c) what you expect the output to be?

[dry11orange]

I tried to determine the application scenarios for RBM
And whether RBM has irreplaceable characteristics compared with neural network

In the test code DeepNetworkTrainingRBM
I commented out the RBM part, trying to compare the training effect of neural network without RBM

And then I was surprised
Cut off the connection between RBM and neural network
RBM still has an influence on the training results of neural network
Training error 0.26->0.06

Logically speaking
The hyper-parameter configuration of neural network is not good, which may lead to high training error
It should not be associated with irrelevant RBM
Because of this, I am not sure whether the neural network hyper-parameter need to be adjusted