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Computing classification probabilities

Open ghost opened this issue 11 years ago • 3 comments

How to compute classification probabilities using deepnet?

ghost avatar Jul 28 '14 13:07 ghost

You can use the extract_neural_net_representation.py program to get the values on the last layer (softmax).

jormansa avatar Jul 31 '14 10:07 jormansa

@jormansa Thanks. I'm using dbm to build a model. Can I use extract_dbn_representation.py to get each layer representation of the input? Though this script gets the name dbn, it seems that it also uses the mean-field and variational method (positive phrase) to get the posterior probabilities. I think in dbn people usually get each layer representation as in neural net, unlike what happens here. How it goes?

ghost avatar Aug 06 '14 12:08 ghost

Sorry, I don't know how to do that with a DBM. Maybe you can create your own program inspired by extract_dbn_representation.py

jormansa avatar Oct 16 '14 09:10 jormansa