Mercurial > pylearn
changeset 516:2b0e10ac6929
misc
| author | Olivier Breuleux <breuleuo@iro.umontreal.ca> |
|---|---|
| date | Mon, 03 Nov 2008 00:10:18 -0500 |
| parents | dc2d93590da0 |
| children | 716c04512dbe b267a8000f92 |
| files | algorithms/regressor.py algorithms/stacker.py |
| diffstat | 2 files changed, 11 insertions(+), 1 deletions(-) [+] |
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--- a/algorithms/regressor.py Fri Oct 31 16:37:19 2008 -0400 +++ b/algorithms/regressor.py Mon Nov 03 00:10:18 2008 -0500 @@ -45,6 +45,7 @@ # INTERFACE METHODS self.update = theano.Method([self.input, self.target], self.cost, updates) + self.get_cost = theano.Method([self.input, self.target], self.cost) self.predict = theano.Method(self.input, self.output) self.build_extensions()
--- a/algorithms/stacker.py Fri Oct 31 16:37:19 2008 -0400 +++ b/algorithms/stacker.py Mon Nov 03 00:10:18 2008 -0500 @@ -1,3 +1,9 @@ + +# for example in examples: +# repr = example +# for layer in stacked.layers: +# layer.update(repr) +# repr = layer.representation(repr) import theano from theano import tensor as T @@ -24,11 +30,12 @@ self.input = self.layers[0].input self.output = current + representation = [] local_update = [] global_update = [] to_update = [] all_kits = [] - for layer in layers: + for layer, (submodule, outname) in zip(layers, submodules): u = layer.update u.resolve_all() to_update += u.updates.keys() @@ -46,12 +53,14 @@ dict((param, param - layer.lr * T.grad(layer.cost, param)) for param in to_update), list(all_kits))) + representation.append(theano.Method(self.input, layer[outname])) # @todo: Add diagnostics # self.diagnose_from_input = Method([self.input], self.layers[0].diagnose.outputs + self.layers[1].diagnose.outputs ... self.local_update = local_update self.global_update = global_update + self.representation = representation self.update = self.global_update[-1] self.compute = theano.Method(self.input, self.output) ll = self.layers[-1]