Base layer class.
Inherits From: Layer
, Module
tf.compat.v1.layers.Layer(
trainable=True, name=None, dtype=None, **kwargs
)
It is considered legacy, and we recommend the use of tf.keras.layers.Layer
instead.
Args |
trainable
|
Boolean, whether the layer's variables should be trainable.
|
name
|
String name of the layer.
|
dtype
|
Default dtype of the layer's weights (default of None means use
the type of the first input).
|
Read-only properties:
name: The name of the layer (string).
dtype: Default dtype of the layer's weights (default of None
means use
the type of the first input).
trainable_variables: List of trainable variables.
non_trainable_variables: List of non-trainable variables.
variables: List of all variables of this layer, trainable and
non-trainable.
updates: List of update ops of this layer.
losses: List of losses added by this layer.
trainable_weights: List of variables to be included in backprop.
non_trainable_weights: List of variables that should not be
included in backprop.
weights: The concatenation of the lists trainable_weights and
non_trainable_weights (in this order).
Mutable properties |
trainable
|
Whether the layer should be trained (boolean).
|
input_spec
|
Optional (list of) InputSpec object(s) specifying the
constraints on inputs that can be accepted by the layer.
|
Attributes |
graph
|
|
scope_name
|
|
Methods
apply
View source
apply(
*args, **kwargs
)
get_losses_for
View source
get_losses_for(
inputs
)
Retrieves losses relevant to a specific set of inputs.
Args |
inputs
|
Input tensor or list/tuple of input tensors.
|
Returns |
List of loss tensors of the layer that depend on inputs .
|
get_updates_for
View source
get_updates_for(
inputs
)
Retrieves updates relevant to a specific set of inputs.
Args |
inputs
|
Input tensor or list/tuple of input tensors.
|
Returns |
List of update ops of the layer that depend on inputs .
|