# Module: tf.keras.dtensor.experimental.optimizers

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## Classes

[`class Adadelta`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/experimental/Adadelta): Optimizer that implements the Adadelta algorithm.

[`class Adagrad`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/experimental/Adagrad): Optimizer that implements the Adagrad algorithm.

[`class Adam`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/Adam): Optimizer that implements the Adam algorithm.

[`class AdamW`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/AdamW): Optimizer that implements the AdamW algorithm.

[`class RMSprop`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/experimental/RMSprop): Optimizer that implements the RMSprop algorithm.

[`class SGD`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/experimental/SGD): Gradient descent (with momentum) optimizer.