Did I find the right examples for you? yes no      Crawl my project      Python Jobs

All Samples(6)  |  Call(3)  |  Derive(0)  |  Import(3)

src/p/y/pylearn2-HEAD/pylearn2/models/mlp.py   pylearn2(Download)
            assert self.sparse_init is None
            self.transformer = conv2d.make_random_conv2D(
                    irange=self.irange,
                    input_space=self.input_space,
                    output_space=self.detector_space,

src/p/y/pylearn2-HEAD/pylearn2/models/dbm/layer.py   pylearn2(Download)
from pylearn2.expr.nnet import sigmoid_numpy
from pylearn2.expr.probabilistic_max_pooling import max_pool_channels, max_pool_b01c, max_pool, max_pool_c01b
from pylearn2.linear.conv2d import make_random_conv2D, make_sparse_random_conv2D
from pylearn2.linear.conv2d_c01b import setup_detector_layer_c01b
from pylearn2.linear.matrixmul import MatrixMul
 
        if self.irange is not None:
            self.transformer = make_random_conv2D(self.irange, input_space = space,
                    output_space = self.h_space, kernel_shape = (self.kernel_rows, self.kernel_cols),
                    batch_size = self.dbm.batch_size, border_mode = self.border_mode, rng = self.dbm.rng)

src/p/y/pylearn2-HEAD/pylearn2/linear/tests/test_conv2d.py   pylearn2(Download)
import theano
from theano import tensor
import numpy
from pylearn2.linear.conv2d import Conv2D, make_random_conv2D
from pylearn2.space import Conv2DSpace
        """
        output_space = Conv2DSpace((2, 2), 1)
        conv2d = make_random_conv2D(1, self.input_space, output_space,
                                    (2, 2), 1)
        f = theano.function([self.image_tensor],

src/p/y/pylearn2-HEAD/pylearn2/config/tests/test_yaml_parse.py   pylearn2(Download)
from pylearn2.models.rbm import GaussianBinaryRBM
from pylearn2.space import Conv2DSpace
from pylearn2.linear.conv2d import make_random_conv2D
from pylearn2.energy_functions.rbm_energy import grbm_type_1