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Why are there 10 output neurons in the Neural Network used as an examplefor the Computer Vision Problem?
Why are there 10 output neurons in the Neural Network used as an example
for the Computer Vision Problem?
There are 10 different labels
Purely arbitrary
To make it classify 10x faster
To make it train 10x faster
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