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Optimizer that implements the Momentum algorithm.
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#### `tf.train.MomentumOptimizer.__init__(learning_rate, momentum, use_locking=False, name='Momentum', use_nesterov=False)` {#MomentumOptimizer.__init__}
Construct a new Momentum optimizer.
##### Args:
* <b>`learning_rate`</b>: A `Tensor` or a floating point value. The learning rate.
* <b>`momentum`</b>: A `Tensor` or a floating point value. The momentum.
* <b>`use_locking`</b>: If `True` use locks for update operations.
* <b>`name`</b>: Optional name prefix for the operations created when applying
gradients. Defaults to "Momentum".
* <b>`use_nesterov`</b>: If `True` use Nesterov Momentum.
See [Sutskever et. al., 2013](
* <b>`http`</b>: //jmlr.org/proceedings/papers/v28/sutskever13.pdf)
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