LostTech.TensorFlow : API Documentation

Type resnet_v1

Namespace tensorflow.contrib.slim.python.slim.nets.resnet_v1

Methods

Properties

Public static methods

Tensor bottleneck(object inputs, object depth, object depth_bottleneck, object stride, int rate, object outputs_collections, object scope)

object bottleneck_dyn(object inputs, object depth, object depth_bottleneck, object stride, ImplicitContainer<T> rate, object outputs_collections, object scope)

object resnet_v1_(ValueTuple<PythonClassContainer, PythonClassContainer> inputs, IEnumerable<Block> blocks, Nullable<int> num_classes, bool is_training, bool global_pool, Nullable<int> output_stride, bool include_root_block, object reuse, string scope)

object resnet_v1_(IGraphNodeBase inputs, IEnumerable<Block> blocks, Nullable<int> num_classes, bool is_training, bool global_pool, Nullable<int> output_stride, bool include_root_block, object reuse, string scope)

object resnet_v1__dyn(object inputs, object blocks, object num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> global_pool, object output_stride, ImplicitContainer<T> include_root_block, object reuse, object scope)

ValueTuple<object, PythonClassContainer> resnet_v1_101(object inputs, object num_classes, bool is_training, bool global_pool, object output_stride, object reuse, string scope)

object resnet_v1_101_dyn(object inputs, object num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> global_pool, object output_stride, object reuse, ImplicitContainer<T> scope)

ValueTuple<object, PythonClassContainer> resnet_v1_152(object inputs, object num_classes, bool is_training, bool global_pool, object output_stride, object reuse, string scope)

object resnet_v1_152_dyn(object inputs, object num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> global_pool, object output_stride, object reuse, ImplicitContainer<T> scope)

ValueTuple<object, PythonClassContainer> resnet_v1_200(object inputs, object num_classes, bool is_training, bool global_pool, object output_stride, object reuse, string scope)

object resnet_v1_200_dyn(object inputs, object num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> global_pool, object output_stride, object reuse, ImplicitContainer<T> scope)

ValueTuple<object, object> resnet_v1_50(object inputs, object num_classes, bool is_training, bool global_pool, object output_stride, object reuse, string scope)

object resnet_v1_50_dyn(object inputs, object num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> global_pool, object output_stride, object reuse, ImplicitContainer<T> scope)

Block resnet_v1_block(string scope, int base_depth, int num_units, int stride)

object resnet_v1_block_dyn(object scope, object base_depth, object num_units, object stride)

Public properties

PythonFunctionContainer bottleneck_fn get;

PythonFunctionContainer resnet_v1__fn get;

PythonFunctionContainer resnet_v1_101_fn get;

PythonFunctionContainer resnet_v1_152_fn get;

PythonFunctionContainer resnet_v1_200_fn get;

PythonFunctionContainer resnet_v1_50_fn get;

PythonFunctionContainer resnet_v1_block_fn get;