FCInterface

Inheritance Diagram

Inheritance diagram of ashpy.models.fc.interfaces.FCInterface

class ashpy.models.fc.interfaces.FCInterface[source]

Bases: tensorflow.python.keras.engine.training.Model

Primitive Interface to be used by all ashpy.models.

Methods

__init__()

Primitive Interface to be used by all ashpy.models.

call(inputs[, training])

Execute the model on input data.

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.

__init__()[source]

Primitive Interface to be used by all ashpy.models.

Declares the self._layers list.

Returns

None

call(inputs, training=True)[source]

Execute the model on input data.

Parameters
  • inputs (tf.Tensor) – Input tensors.

  • training (bool) – Training flag.

Returns

:py_class:`tf.Tensor`