LostTech.TensorFlow : API Documentation

Type inception_v2

Namespace tensorflow.contrib.slim.python.slim.nets.inception_v2

Methods

Properties

Public static methods

ValueTuple<object, IDictionary<string, object>> inception_v2_(IGraphNodeBase inputs, int num_classes, bool is_training, double dropout_keep_prob, int min_depth, double depth_multiplier, ImplicitContainer<T> prediction_fn, bool spatial_squeeze, Nullable<bool> reuse, string scope)

object inception_v2__dyn(object inputs, ImplicitContainer<T> num_classes, ImplicitContainer<T> is_training, ImplicitContainer<T> dropout_keep_prob, ImplicitContainer<T> min_depth, ImplicitContainer<T> depth_multiplier, ImplicitContainer<T> prediction_fn, ImplicitContainer<T> spatial_squeeze, object reuse, ImplicitContainer<T> scope)

object inception_v2_arg_scope(double weight_decay, string batch_norm_var_collection)

object inception_v2_arg_scope_dyn(ImplicitContainer<T> weight_decay, ImplicitContainer<T> batch_norm_var_collection)

ValueTuple<Tensor, IDictionary<string, object>> inception_v2_base(IGraphNodeBase inputs, string final_endpoint, int min_depth, double depth_multiplier, VariableScope scope)

ValueTuple<Tensor, IDictionary<string, object>> inception_v2_base(IGraphNodeBase inputs, string final_endpoint, int min_depth, double depth_multiplier, string scope)

object inception_v2_base_dyn(object inputs, ImplicitContainer<T> final_endpoint, ImplicitContainer<T> min_depth, ImplicitContainer<T> depth_multiplier, object scope)

Public properties

PythonFunctionContainer inception_v2__fn get;

PythonFunctionContainer inception_v2_arg_scope_fn get;

PythonFunctionContainer inception_v2_base_fn get;

object trunc_normal get; set;

object trunc_normal_dyn get; set;