Python DARN Examples

Example #1

File: test_darn.py Project: yburda/reweighted-ws

 def setUp(self):
     self.n_samples = 10
     self.layer = DARN(
         n_X=16,
         n_Y=8,
     )
     self.layer.setup()

Example #2

File: test_darn.py Project: yburda/reweighted-ws

class TestDARN(RWSLayerTest, unittest.TestCase):
    def setUp(self):
        self.n_samples = 10
        self.layer = DARN(
            n_X=16,
            n_Y=8,
        )
        self.layer.setup()

Example #3

File: test_darn.py Project: Riashat/reweighted-ws

class TestDARN(RWSLayerTest, unittest.TestCase):
    def setUp(self):
        self.n_samples = 10
        self.layer = DARN(
                        n_X=16,
                        n_Y=8,
                    )
        self.layer.setup()

Example #4

File: test_darn.py Project: Riashat/reweighted-ws

 def setUp(self):
     self.n_samples = 10
     self.layer = DARN(
                     n_X=16,
                     n_Y=8,
                 )
     self.layer.setup()

Example #5

dataset = MNIST(fname="data/mnist_salakhutdinov.pkl.gz",
                which_set='salakhutdinov_train',
                n_datapoints=59000)
smallset = MNIST(fname="data/mnist_salakhutdinov.pkl.gz",
                 which_set='salakhutdinov_valid',
                 n_datapoints=100)
valiset = MNIST(fname="data/mnist_salakhutdinov.pkl.gz",
                which_set='salakhutdinov_valid',
                n_datapoints=1000)
testset = MNIST(fname="data/mnist_salakhutdinov.pkl.gz",
                which_set='test',
                n_datapoints=10000)

p_layers = [
    DARN(
        n_X=n_vis,
        n_Y=200,
    ),
    DARNTop(n_X=200, ),
]

q_layers = [
    CNADE(
        n_Y=n_vis,
        n_X=200,
        n_hid=200,
    ),
]

model = LayerStack(
    p_layers=p_layers,
    q_layers=q_layers,