LostTech.TensorFlow : API Documentation

Type DenseNet

Namespace tensorflow.contrib.eager.python.examples.densenet.densenet

Parent Model

Interfaces IDenseNet

Methods

Properties

Public static methods

DenseNet NewDyn(object depth_of_model, object growth_rate, object num_of_blocks, object output_classes, object num_layers_in_each_block, object data_format, ImplicitContainer<T> bottleneck, ImplicitContainer<T> compression, ImplicitContainer<T> weight_decay, ImplicitContainer<T> dropout_rate, ImplicitContainer<T> pool_initial, ImplicitContainer<T> include_top)

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

BatchNormalization batchnorm1 get; set;

BatchNormalization batchnorm2 get; set;

bool bottleneck get; set;

bool built get; set;

Dense classifier get; set;

double compression get; set;

Conv2D conv1 get; set;

string data_format get; set;

IList<DenseBlock> dense_blocks get; set;

int depth_of_model get; set;

int dropout_rate get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

int growth_rate get; set;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

bool include_top get; set;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_names get; set;

IList<object> input_shape get;

object input_shape_dyn get;

IList<object> input_spec get;

object input_spec_dyn get;

IList<object> inputs get; set;

GlobalAvgPool2D last_pool get; set;

IList<Layer> layers get;

object layers_dyn get;

object loss get; set;

IList<object> loss_functions get; set;

IList<double> loss_weights get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get;

object metrics_dyn get;

IList<object> metrics_names get;

object metrics_names_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;

int num_filters get; set;

object num_layers_in_each_block get; set;

int num_of_blocks get; set;

object optimizer get; set;

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

int output_classes get; set;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

IList<object> output_names get; set;

object output_shape get;

object output_shape_dyn get;

IList<object> outputs get; set;

bool pool_initial get; set;

MaxPool2D pool1 get; set;

object predict_function get; set;

object PythonObject get;

Nullable<bool> run_eagerly get; set;

object run_eagerly_dyn get; set;

string sample_weight_mode get; set;

IList<Tensor> sample_weights get;

object sample_weights_dyn get;

IList<object> state_updates get;

object state_updates_dyn get;

bool stateful get;

object stateful_dyn get;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

object test_function get; set;

Nullable<double> total_loss get; set;

object train_function 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;

IList<TransitionBlock> transition_blocks get; set;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

double weight_decay get; set;

IList<object> weights get;

object weights_dyn get;