# Module: tf.compat.v1.keras.optimizers.legacy

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## Classes

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

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

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

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

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

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

[`class Optimizer`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/optimizers/legacy/Optimizer): Base class for legacy Keras optimizers.

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

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