neuro.py 文件源码

def __init__(self, activation='linear',
                 bias_regularizer=None,
                 bias_constraint=None,
                 bias_initializer='zeros',
                 use_bias=True, input_dim=None, **kwargs):

        self.activation = activations.get(activation)
        self.input_dim = input_dim

        self.bias_initializer = initializers.get(bias_initializer)
        self.bias_regularizer = regularizers.get(bias_regularizer)
        self.bias_constraint = constraints.get(bias_constraint)

        self.use_bias = use_bias
        self.input_spec = [InputSpec(ndim=2)]

        if 'input_shape' not in kwargs and 'input_dim' in kwargs:
            kwargs['input_shape'] = (kwargs.pop('input_dim'),)
        super(EminusS, self).__init__(**kwargs)