Best Practices: How to Split Dataset into Batches for Efficient Training?

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Batch splitting can be a pain, but it’s worth getting right. I usually go for equal-sized batches, but if your data’s imbalanced, stratified sampling is a game-changer.

For tools, I’d recommend Keras’ `ImageDataGenerator` if you’re working with images. It handles batching, shuffling, and even data augmentation. Also, don’t forget to monitor your GPU usage—batch size can really impact performance.

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