Encoder

latent.modules.encoder.Encoder

Encoder base class. This model compresses input data in a latent space with latent_dim dimensions by through passing it through a DenseStack.

__init__(self, latent_dim=50, name='encoder', initializer='glorot_normal', **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.	'encoder'
initializer	Union[str, Callable]	Initializer for the kernel weights matrix (see keras.initializers)	'glorot_normal'
**kwargs		Other arguments passed on to DenseStack	{}