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It is just complete nonsense. In fact deep learning/AI chips used for neural networks usually have reduced floating point precision because they don't need it
by jackmott 9y ago
It is just complete nonsense. In fact deep learning/AI chips used for neural networks usually have reduced floating point precision because they don't need it.
- smitherfield 9y agoDeep learning is still a fairly new and small field, scientific computing workloads are usually mostly double-precision.
- freeone3000 9y agoWe don't need it because errors in any particular value aren't important - the calculations assume an amount of inherent error greater than that produced by the hardware.