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Crucially, though, neural networks could learn to do things that couldn't be hand-coded, and later this would prove useful for simple tasks such as recognizing handwritten characters, a skill that was commercialized in the 1990s for reading the numbers on checks.
It would prove to be too simple, in fact.
While this seemed simple, it would prove to be a little more complex in practice.
Little did I know at the time that their simple advice would prove useful and serve me well.
This allows us to assume that the efficient SIMPLE rnd/gaussRnd-EHD descriptors would prove to be competitive choices for similar datasets, where no colour information is available.
It would prove brief.
History would prove Bessel right.
All would prove crucial.
A title would prove the point.
Hostility would prove to be unnecessary.
Still, the experience would prove formative.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com