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src/p/y/pylearn2-HEAD/pylearn2/models/mlp.py   pylearn2(Download)
from pylearn2.models.model import Model
from pylearn2.monitor import get_monitor_doc
from pylearn2.expr.nnet import pseudoinverse_softmax_numpy
from pylearn2.space import CompositeSpace
from pylearn2.space import Conv2DSpace

src/p/y/pylearn2-HEAD/pylearn2/expr/tests/test_nnet.py   pylearn2(Download)
from theano import tensor as T
 
from pylearn2.expr.nnet import pseudoinverse_softmax_numpy
from pylearn2.expr.nnet import softmax_numpy
from pylearn2.expr.nnet import softmax_ratio
    p /= p.sum()
 
    z = pseudoinverse_softmax_numpy(p)
    zbroad = z.reshape(1,z.size)
    p2 = softmax_numpy(zbroad)