Module: tf.train

Support for training models.

See the Training guide.


experimental module: Public API for tf.train.experimental namespace.


class BytesList: Container that holds repeated fundamental values of byte type in the tf.train.Feature message.

class Checkpoint: Manages saving/restoring trackable values to disk.

class CheckpointManager: Manages multiple checkpoints by keeping some and deleting unneeded ones.

class CheckpointOptions: Options for constructing a Checkpoint.

class ClusterDef: A ProtocolMessage

class ClusterSpec: Represents a cluster as a set of "tasks", organized into "jobs".

class Coordinator: A coordinator for threads.

class Example: An Example is a mostly-normalized data format for storing data for tra