|TensorFlow 2.0 version|
Support for training models.
See the Training guide.
experimental module: Public API for tf.train.experimental namespace.
class Checkpoint: Groups trackable objects, saving and restoring them.
class CheckpointManager: Deletes old checkpoints.
class ClusterSpec: Represents a cluster as a set of "tasks", organized into "jobs".
class Coordinator: A coordinator for threads.
class ExponentialMovingAverage: Maintains moving averages of variables by employing an exponential decay.
checkpoints_iterator(...): Continuously yield new checkpoint files as they appear.
get_checkpoint_state(...): Returns CheckpointState proto from the "checkpoint" file.
latest_checkpoint(...): Finds the filename of latest saved checkpoint file.
list_variables(...): Returns list of all variables in the checkpoint.
CheckpointReader for checkpoint found in
load_variable(...): Returns the tensor value of the given variable in the checkpoint.