What are TensorFlow datasets (TFDS) and how are they used?
The question is about TensorFlow .
TensorFlow Datasets (tfds) is a separate library packaging public datasets into a ready-to-load format for TensorFlow, JAX, or PyTorch. It's distinct from tf.data, TensorFlow's general-purpose pipeline API: datasets like MNIST and CIFAR-10 come through tfds.load(), which actually returns a tf.data.Dataset object that you then feed into tf.data itself.
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