def __init__(self, output_dim, num_components, init='glorot_uniform', weights=None,
bias=True, input_dim=None, **kwargs):
self.init = initializations.get(init)
self.activation = activations.get(activation)
self.output_dim = output_dim
self.input_dim = input_dim
self.num_components = num_components
self.bias = bias
self.initial_weights = weights
self.input_spec = [InputSpec(ndim=2)]
if self.input_dim:
kwargs['input_shape'] = (self.input_dim,)
super(Dense, self).__init__(**kwargs)
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