nn.py 文件源码

python
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项目:WGAN_mnist 作者: rajeswar18 项目源码 文件源码
def batch_norm(layer, b=lasagne.init.Constant(0.), g=lasagne.init.Constant(1.), **kwargs):
    """
    adapted from https://gist.github.com/f0k/f1a6bd3c8585c400c190
    """
    nonlinearity = getattr(layer, 'nonlinearity', None)
    if nonlinearity is not None:
        layer.nonlinearity = lasagne.nonlinearities.identity
    else:
        nonlinearity = lasagne.nonlinearities.identity
    if hasattr(layer, 'b'):
        del layer.params[layer.b]
        layer.b = None
    return BatchNormLayer(layer, b, g, nonlinearity=nonlinearity, **kwargs)
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