BasicRNNCell - LostTech.TensorFlow Documentation

Type BasicRNNCell

Namespace tensorflow.nn.rnn_cell

The most basic RNN cell.

Note that this cell is not optimized for performance. Please use tf.contrib.cudnn_rnn.CudnnRNNTanh for better performance on GPU.

Methods

Properties

Public instance methods

object deepcopy_dyn(object memo)

object setattr(ValueTuple<PythonClassContainer, PythonClassContainer> value, Variable name)

Support self.foo = trackable syntax.

void build(ValueTuple<int, int, int> inputs_shape)

Creates the variables of the layer (optional, for subclass implementers).

This is a method that implementers of subclasses of `Layer` or `Model` can override if they need a state-creation step in-between layer instantiation and layer call.

This is typically used to create the weights of `Layer` subclasses.

void build(TensorShape inputs_shape)

Creates the variables of the layer (optional, for subclass implementers).

This is a method that implementers of subclasses of `Layer` or `Model` can override if they need a state-creation step in-between layer instantiation and layer call.

This is typically used to create the weights of `Layer` subclasses.

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

bool built get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

object graph get;

object graph_dyn get;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_shape get;

object input_shape_dyn get;

object input_spec get; set;

object input_spec_dyn get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get;

object metrics_dyn get;

object name get;

object name_dyn get;

object name_scope get;

object name_scope_dyn get;

IList<object> non_trainable_variables get;

object non_trainable_variables_dyn get;

IList<object> non_trainable_weights get;

object non_trainable_weights_dyn get;

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

object output_shape get;

object output_shape_dyn get;

object output_size get;

Integer or TensorShape: size of outputs produced by this cell.

object output_size_dyn get;

Integer or TensorShape: size of outputs produced by this cell.

object PythonObject get;

object rnncell_scope get; set;

string scope_name get;

object scope_name_dyn get;

object state_size get;

size(s) of state(s) used by this cell.

It can be represented by an Integer, a TensorShape or a tuple of Integers or TensorShapes.

object state_size_dyn get;