Module: tf.compat.v1.train

Support for training models.

See the Training guide.

Modules

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

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

Classes

class AdadeltaOptimizer: Optimizer that implements the Adadelta algorithm.

class AdagradDAOptimizer: Adagrad Dual Averaging algorithm for sparse linear models.

class AdagradOptimizer: Optimizer that implements the Adagrad algorithm.

class AdamOptimizer: Optimizer that implements the Adam algorithm.

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

class Checkpoint: Groups trackable objects, saving and restoring them.