How do I implement batching in Keras?

How do I implement batching in Keras?

To implement batching in Keras, you can use the batch_size parameter in the fit method. This allows you to specify how many samples to process before updating the model's weights.

Can you show me an example of how to set the batch size?

Sure! Here's a simple example:

model.fit(x_train, y_train, batch_size=32, epochs=10)

This will train the model using batches of 32 samples.

What if I want to use a different batch size for validation?

You can specify a different batch size for validation by using the validation_batch_size parameter in the fit method, like this:

model.fit(x_train, y_train, batch_size=32, validation_data=(x_val, y_val), validation_batch_size=64, epochs=10)

Is there a way to dynamically change the batch size during training?

Yes, you can use a custom training loop with Keras to dynamically adjust the batch size based on your criteria. This requires more advanced coding but offers flexibility.