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Base layer class.
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.
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
|