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by ggrrhh_ta
1596 days ago
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Regardless of the base, be it text or encoded numbers, text, as encoded is just a different base of representing a number('325' is '3' * (2^32) + '2' * (2^16) + '5' * 2^8 = 51 * 2^32 + 50 * 2^16 + 53 * 2^8). Neural networks can approximate polynomials, and additions/substractions & multiplications can be approximated - in this case, the base is just not '10' but 'ASCII'. I think that if you tried to train it only with arithmetic expressions (in text) it should get even better, it should just approximate the underlying operation - it does not need to understand the text. |
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