TopologicalEncoder

latent.modules.encoder.TopologicalEncoder

Encoder model with topological regularization loss on latent space (Moor 2019).

__init__(self, latent_dim=50, name='topological_encoder', initializer='glorot_normal', topo_weight=1.0, **kwargs) special

Parameters:

Name	Type	Description	Default
latent_dim	int	Integer indicating the number of dimensions in the latent space.	50
name	str	String indicating the name of the model.	'topological_encoder'
initializer	Union[str, Callable]	Initializer for the kernel weights matrix (see keras.initializers)	'glorot_normal'
topo_weight	float	Float indicating the weight of the topological loss.	1.0
**kwargs		Other arguments passed on to DenseStack	{}