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Explain the sequence utilities methods?
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Answer / Rohit Kumar Sinha
TensorFlow provides several sequence utility functions that help with handling variable-length sequences of data. These include window_functions (like rolling, sliding, and cumulative_sum), masking utilities (pad, pack, unpack), and sequence length normalization techniques like dynamic_rnn, and recurrent_iterator.
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