FCNNDecoder¶
Inheritance Diagram
-
class
ashpy.models.convolutional.decoders.
FCNNDecoder
(layer_spec_input_res, layer_spec_target_res, kernel_size, initial_filters, filters_cap, channels, use_dropout=True, dropout_prob=0.3, non_linearity=<class 'tensorflow.python.keras.layers.advanced_activations.LeakyReLU'>)[source]¶ Bases:
ashpy.models.convolutional.decoders.Decoder
Fully Convolutional Decoder. Expected input is a feature map.
Examples
- Direct Usage:
dummy_generator = FCNNDecoder( layer_spec_input_res=(8, 8), layer_spec_target_res=(64, 64), kernel_size=(5, 5), initial_filters=1024, filters_cap=16, channels=3, ) print(dummy_generator(tf.zeros((1, 1, 1, 100))).shape)
(1, 64, 64, 3)
Methods
__init__
(layer_spec_input_res, …[, …])Build a Fully Convolutional 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.