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Answer Posted / Deepika Sengar
1. tf.data API: It provides efficient iteration and shuffling capabilities for large datasets.
2. numpy arrays: TensorFlow can work directly with numpy arrays, although it's recommended to use tf.data for better performance.
3. CSV files: TensorFlow has built-in functions to read CSV files and convert them into tensors.
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