the thing is I dont know how I fixed it .
I am only aware I just once again set paths. And it worked. But I
definitely did that a couple of times before.
So there is not much to share there.
I hoped the addin would allow me for metaoptimization e.g. finding an
optimal learning rate, momentum etc.
As a learner it underperformes the best learning algs that are part of
the mworks nn toolbox ;(
maybe its just upon my datasets.
But thx again for making it available appreciated. U can republish
this on fileexchange if u want (or i can do it if u like(?)).
Thanks for your code! But, when I execute cnnexamples in CNN folder after modifying cnn.layers' kernel size from "5" to "4",
I got an error in cnnbp.m line 37 like "Array dimensions must match for binary array op."
please check this error message. Thanks.
Just tried to run the 2nd DBN example and it failed. First, the assert at line 6 of rbmtrain.m failed. From what I see, the assert should be ==0 not ~= 0 (numbatches should be integer).
Secondly, the example failed on nnff line 14. From what I can tell, the last size size in dbn.sizes should be 10 as that's the y (==> output layer) size.