tf.compat.v1.layers.Layer

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Base layer class.

Inherits From: Layer

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.

Arguments:

• 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: DEPRECATED FUNCTION

  Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Stop using this property because tf.layers layers no longer track their graph.

• scope_name