Type mnist
Namespace tensorflow.contrib.learn.datasets.mnist
Methods
- dense_to_one_hot
- dense_to_one_hot_dyn
- extract_images
- extract_images_dyn
- extract_labels
- extract_labels_dyn
- load_mnist
- load_mnist_dyn
- read_data_sets
- read_data_sets
- read_data_sets_dyn
Properties
Fields
Public static methods
object dense_to_one_hot_dyn(object labels_dense, object num_classes)
object extract_images(FileIO f)
object extract_images_dyn(object f)
object extract_labels_dyn(object f, ImplicitContainer<T> one_hot, ImplicitContainer<T> num_classes)
object load_mnist(string train_dir)
object load_mnist_dyn(ImplicitContainer<T> train_dir)
object read_data_sets(Byte[] train_dir, bool fake_data, bool one_hot, ImplicitContainer<T> dtype, bool reshape, int validation_size, object seed, ImplicitContainer<T> source_url)
object read_data_sets(string train_dir, bool fake_data, bool one_hot, ImplicitContainer<T> dtype, bool reshape, int validation_size, object seed, ImplicitContainer<T> source_url)
object read_data_sets_dyn(object train_dir, ImplicitContainer<T> fake_data, ImplicitContainer<T> one_hot, ImplicitContainer<T> dtype, ImplicitContainer<T> reshape, ImplicitContainer<T> validation_size, object seed, ImplicitContainer<T> source_url)
Public properties
PythonFunctionContainer DataSet_fn get;
PythonFunctionContainer dense_to_one_hot_fn get;
PythonFunctionContainer extract_images_fn get;
PythonFunctionContainer extract_labels_fn get;
PythonFunctionContainer load_mnist_fn get;
PythonFunctionContainer read_data_sets_fn get;
Public fields
string DEFAULT_SOURCE_URL
return string
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