Type SeparableConv1D
Namespace tensorflow.layers
Parent SeparableConv1D
Interfaces ISeparableConv1D
Depthwise separable 1D convolution. This layer performs a depthwise convolution that acts separately on
channels, followed by a pointwise convolution that mixes channels.
If `use_bias` is True and a bias initializer is provided,
it adds a bias vector to the output.
It then optionally applies an activation function to produce the final output.
Methods
Properties
- activation
- activity_regularizer
- activity_regularizer_dyn
- bias
- bias_constraint
- bias_initializer
- bias_regularizer
- built
- data_format
- depth_multiplier
- depthwise_constraint
- depthwise_initializer
- depthwise_kernel
- depthwise_regularizer
- dilation_rate
- dtype
- dtype_dyn
- dynamic
- dynamic_dyn
- filters
- graph
- graph_dyn
- inbound_nodes
- inbound_nodes_dyn
- input
- input_dyn
- input_mask
- input_mask_dyn
- input_shape
- input_shape_dyn
- input_spec
- input_spec_dyn
- kernel
- kernel_constraint
- kernel_initializer
- kernel_regularizer
- kernel_size
- losses
- losses_dyn
- metrics
- metrics_dyn
- name
- name_dyn
- name_scope
- name_scope_dyn
- non_trainable_variables
- non_trainable_variables_dyn
- non_trainable_weights
- non_trainable_weights_dyn
- outbound_nodes
- outbound_nodes_dyn
- output
- output_dyn
- output_mask
- output_mask_dyn
- output_shape
- output_shape_dyn
- padding
- pointwise_constraint
- pointwise_initializer
- pointwise_kernel
- pointwise_regularizer
- PythonObject
- rank
- scope_name
- scope_name_dyn
- stateful
- strides
- submodules
- submodules_dyn
- supports_masking
- trainable
- trainable_dyn
- trainable_variables
- trainable_variables_dyn
- trainable_weights
- trainable_weights_dyn
- updates
- updates_dyn
- use_bias
- variables
- variables_dyn
- weights
- weights_dyn
Public static methods
SeparableConv1D NewDyn(object filters, object kernel_size, ImplicitContainer<T> strides, ImplicitContainer<T> padding, ImplicitContainer<T> data_format, ImplicitContainer<T> dilation_rate, ImplicitContainer<T> depth_multiplier, object activation, ImplicitContainer<T> use_bias, object depthwise_initializer, object pointwise_initializer, ImplicitContainer<T> bias_initializer, object depthwise_regularizer, object pointwise_regularizer, object bias_regularizer, object activity_regularizer, object depthwise_constraint, object pointwise_constraint, object bias_constraint, ImplicitContainer<T> trainable, object name, IDictionary<string, object> kwargs)
Public properties
object activation get; set;
PythonFunctionContainer activity_regularizer get; set;
object activity_regularizer_dyn get; set;
object bias get; set;
object bias_constraint get; set;
object bias_initializer get; set;
object bias_regularizer get; set;
bool built get; set;
string data_format get; set;
int depth_multiplier get; set;
object depthwise_constraint get; set;
object depthwise_initializer get; set;
object depthwise_kernel get; set;
object depthwise_regularizer get; set;
object dilation_rate get; set;
object dtype get;
object dtype_dyn get;
bool dynamic get;
object dynamic_dyn get;
Nullable<int> filters get; set;
object graph get;
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.
object graph_dyn get;
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.