How does Keras handle sparse data efficiently?

Keras handles sparse data using embeddings, sparse tensors, and efficient input pipelines.

Sparse categorical data is converted using embeddings instead of one-hot encoding. tf.sparse tensors also reduce memory usage in large-scale recommender systems.