Why smaller kernel sizes are more meaningful?
(a.) Less time to process
(b.) Less Generalization
(c.) Less Ambiguity
(d.) All of the above
Answers
All the mentioned options or benefits are possible in case of smaller kernel sizes. In case of small kernel sizes, one does not have to worry worry about sampling.
So the overall input size is much efficient when the kernel size is small and hence it takes less tome to process and there is less ambiguity.
Small patterns cam be easily captured and processed which makes it quite easier. So it makes the overall functioning quite easier when the kernel size is small.
So the correct option is option D i.e. "All of the above".
Smaller kernel sizes are more meaningful Less time to process , Less Generalisation , Less Ambiguity.
Option (d).
Explanation:
- Kernel is the lowest level of any operating system after the Hardware.
- It is responsible for controlling each and every actions that take place in the device it is used.
- With time the size of the kernel has also been reduced and the reduce kernel size takes less time for processing, Generalisation, and Ambiguity.
- Improvements are being to make a kernel smaller and more powerful than what we currently have in the present scenario.
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