Decoder¶
Inheritance Diagram
-
class
ashpy.models.fc.decoders.
Decoder
(hidden_units, output_shape)[source]¶ Bases:
ashpy.models.fc.interfaces.FCInterface
Primitive Model for all fully connected decoder based architecture.
Examples
decoder = Decoder( hidden_units=[64,128,256], output_shape=55) print(decoder(tf.zeros((1,10))).shape)
(1, 55)
Methods
__init__
(hidden_units, output_shape)Instantiate the Decoder
.Attributes
activity_regularizer
Optional regularizer function for the output of this layer. dtype
dynamic
inbound_nodes
Deprecated, do NOT use! Only for compatibility with external Keras. input
Retrieves the input tensor(s) of a layer. input_mask
Retrieves the input mask tensor(s) of a layer. input_shape
Retrieves the input shape(s) of a layer. input_spec
Gets the network’s input specs. layers
losses
Losses which are associated with this Layer. metrics
Returns the model’s metrics added using compile, add_metric APIs. metrics_names
Returns the model’s display labels for all outputs. name
Returns the name of this module as passed or determined in the ctor. name_scope
Returns a tf.name_scope instance for this class. non_trainable_variables
non_trainable_weights
outbound_nodes
Deprecated, do NOT use! Only for compatibility with external Keras. output
Retrieves the output tensor(s) of a layer. output_mask
Retrieves the output mask tensor(s) of a layer. output_shape
Retrieves the output shape(s) of a layer. run_eagerly
Settable attribute indicating whether the model should run eagerly. sample_weights
state_updates
Returns the updates from all layers that are stateful. stateful
submodules
Sequence of all sub-modules. trainable
trainable_variables
Sequence of variables owned by this module and it’s submodules. trainable_weights
updates
variables
Returns the list of all layer variables/weights. weights
Returns the list of all layer variables/weights.