What are the different optimizers available in Keras?
Keras offers several optimizers like SGD, Adam, RMSprop, and Adagrad. Each has its own advantages.
Can you explain the Adam optimizer and when to use it?
The Adam optimizer combines the benefits of AdaGrad and RMSProp. It's great for most problems due to its adaptive learning rate.
How do I implement the Adam optimizer in my Keras model?
You can implement it by passing optimizer='adam'
when compiling your model, like this: `model.compile(optimizer='adam', loss='categorical_crossentropy').
Are there any specific parameters I should tune for Adam?
Yes, you can tune parameters like learning rate, beta1, and beta2 to optimize performance based on your dataset.
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