BahdanauMonotonicAttentionV2 - LostTech.TensorFlow Documentation

Type BahdanauMonotonicAttentionV2

Namespace tensorflow.contrib.seq2seq

NewDyn

Methods

Properties

Public static methods

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

object alignments_size get;

object alignments_size_dyn get;

object attention_b get; set;

object attention_g get; set;

object attention_score_bias get; set;

object attention_v get; set;

object batch_size get; set;

bool built get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_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;

object kernel_initializer get; set;

object keys get; set;

IList<object> losses get;

object losses_dyn get;

Dense memory_layer get; set;

IList<object> metrics get;

object metrics_dyn get;

string mode get; set;

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;

bool normalize get; set;

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 probability_fn get; set;

object PythonObject get;

Dense query_layer get; set;

double score_bias_init get; set;

PythonClassContainer score_mask_value get; set;

double sigmoid_noise get; set;

object sigmoid_noise_seed get; set;

object state_size get;

object state_size_dyn get;

bool stateful get; set;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

bool trainable get; set;

object trainable_dyn get; set;

object trainable_variables get;

object trainable_variables_dyn get;

IList<object> trainable_weights get;

object trainable_weights_dyn get;

object units get; set;

IList<object> updates get;

object updates_dyn get;

object values get; set;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;