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Base layer class.
Compat aliases for migration
See Migration guide for more details.
tf.layers.Layer( trainable=True, name=None, dtype=None, **kwargs )
It is considered legacy, and we recommend the use of
||Boolean, whether the layer's variables should be trainable.|
||String name of the layer.|
Default dtype of the layer's weights (default of
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
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).
trainable: Whether the layer should be trained (boolean).
input_spec: Optional (list of)
InputSpecobject(s) specifying the constraints on inputs that can be accepted by the layer.