What optimizers does TensorFlow offer for training models?

TensorFlow offers a variety of optimizers for training models, with some popular ones being:

1. tf.keras.optimizers.SGD: Stochastic gradient descent optimizer.
2. Adam optimizer in tf.keras.
3. Adagrad optimizer from tf.keras.optimizers suite.
4. RMSprop optimizer in TensorFlow’s Keras: RMSprop optimizer
5. Adadelta optimizer from tf.keras.optimizers
6. Adamax optimizer is called Adamax in English.
7. tf.keras.optimizers.Nadam: Nadam optimizer

These optimizers can all be directly used in TensorFlow, choose the suitable one based on the specific model and dataset to train the model.