Question: The half - precision floating - point system is often used in machine learning applications; to train machine learning algorithms, a large amount of calculation
The halfprecision floatingpoint system is often used in machine learning applications; to train machine learning algorithms, a large amount of calculation is necessary, but can be done without a high level of precision. This floatingpoint system uses only five bits for the exponent and ten bits for the significand, which can make it significantly faster than double precision.
Halfprecision numbers are represented as
with
and exponent
What is the largest value of
such that all integers in the range
are exactly representable in this floating point system? Your answer should be a decimal value.
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