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By extracting those features you can put them in a neural network and classify your image! But as cool as that sounds, there are 2 Achilles heels:

  1. When input dimensions increase exponentially, the time it takes to run the CNN also becomes exponential . An example of a problem like that would be when you’re modeling quantum systems to classical computers, the input space grows exponentially
  2. As you increase the kernel size, the time it takes to run the CNN becomes exponential

But Quantum’s here to the rescue!

5

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CURATED BY

vedarham29

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