What are the different optimizers available in TensorFlow Keras?

What are the different optimizers available in TensorFlow Keras?

TensorFlow Keras offers several optimizers like SGD, Adam, RMSprop, and Adagrad. Each has its own advantages.

Can you explain the differences between Adam and SGD?

Sure! Adam adapts the learning rate for each parameter, making it efficient for large datasets, while SGD uses a constant learning rate.

When should I use RMSprop over Adam?

RMSprop is often preferred for recurrent neural networks and when dealing with non-stationary objectives, while Adam is more general.

How do I implement an optimizer in my Keras model?

You can set the optimizer when compiling your model, like this: model.compile(optimizer='adam', loss='sparse_categorical_crossentropy').