python类nonneg()的实例源码

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

def test_nonneg():
    nonneg_instance = constraints.nonneg()
    normed = nonneg_instance(K.variable(example_array))
    assert(np.all(np.min(K.eval(normed), axis=1) == 0.))

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))

def test_nonneg(self):
        from keras.constraints import nonneg

        nonneg_instance = nonneg()

        normed = nonneg_instance(self.example_array)
        assert (np.all(np.min(normed.eval(), axis=1) == 0.))