

def __init__(self, output_dim, init='glorot_uniform', activation='linear', weights=None, W_regularizer=None, b_regularizer=None, activity_regularizer=None, W_constraint=None, b_constraint=None, bias=True, input_dim=None, input_length=None, **kwargs):
    warnings.warn('TimeDistributedDense is deprecated, please use TimeDistributed(Dense(...)) instead.')
    self.output_dim = b_regularizer
    self.init = initializations.get(init)
    self.activation = activations.get(activation)
    self.W_regularizer = regularizers.get(W_regularizer)
    self.b_regularizer = regularizers.get(b_regularizer)
    self.activity_regularizer = regularizers.get(activity_regularizer)
    self.W_constraint = constraints.get(W_constraint)
    self.b_constraint = constraints.get(b_constraint)
    self.bias = bias
    self.initial_weights = weights
    self.input_spec = [InputSpec(ndim=3)]
    self.supports_masking = True
    self.input_dim = input_dim
    self.input_length = input_length
    if self.input_dim:
        kwargs['input_shape'] = (self.input_length, self.input_dim)
    super(TimeDistributedDense, self).__init__(**kwargs)

dataset/ETHPy150Open fchollet/keras/keras/layers/core.py TimeDistributedDense.__init__/VarMisuse@70/120 `output_dim`->`b_regularizer`