Python GlorotNormal.std示例

示例#1

文件： test_init.py 项目： cbbjames/Variational-Dropout---ResNet-

def test_glorot_normal_gain():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal(gain=10.0).sample((100, 100))
    assert -0.1 < sample.mean() < 0.1
    assert 0.9 < sample.std() < 1.1

    sample = GlorotNormal(gain='relu').sample((100, 100))
    assert -0.01 < sample.mean() < 0.01
    assert 0.132 < sample.std() < 0.152

示例#2

文件： test_init.py 项目： 52nlp/Lasagne

def test_glorot_normal_gain():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal(gain=10.0).sample((100, 100))
    assert -0.1 < sample.mean() < 0.1
    assert 0.9 < sample.std() < 1.1

    sample = GlorotNormal(gain='relu').sample((100, 100))
    assert -0.01 < sample.mean() < 0.01
    assert 0.132 < sample.std() < 0.152

示例#3

文件： test_init.py 项目： cbbjames/Variational-Dropout---ResNet-

def test_glorot_normal_receptive_field():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal().sample((50, 50, 2))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11

示例#4

文件： test_init.py 项目： cbbjames/Variational-Dropout---ResNet-

def test_glorot_normal():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal().sample((100, 100))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11

示例#5

文件： test_init.py 项目： cbbjames/Variational-Dropout---ResNet-

def test_glorot_normal_c01b():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal(c01b=True).sample((25, 2, 2, 25))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11

示例#6

文件： test_init.py 项目： 52nlp/Lasagne

def test_glorot_normal_c01b():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal(c01b=True).sample((25, 2, 2, 25))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11

示例#7

文件： test_init.py 项目： 52nlp/Lasagne

def test_glorot_normal_receptive_field():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal().sample((50, 50, 2))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11

示例#8

文件： test_init.py 项目： 52nlp/Lasagne

def test_glorot_normal():
    from lasagne.init import GlorotNormal

    sample = GlorotNormal().sample((100, 100))
    assert -0.01 < sample.mean() < 0.01
    assert 0.09 < sample.std() < 0.11