If a neural network’s output layer uses Huffman coding to represent predicted phonemes, which consequence follows for network efficiency?

💡 Explanation

Huffman coding assigns shorter codes to more frequent phonemes, therefore the average number of bits needed to represent each phoneme decreases, rather than increasing memory usage or impacting the computational graph itself, because it's based on frequency.

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