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What effect does 1×1 convolution has on quality of feature being learnt?

HomeCategory: stackoverflowWhat effect does 1×1 convolution has on quality of feature being learnt?
Avatarpragati asked 5 months ago

I was learning about inception module from deeplearning.ai by Andrew Ng, wherein we use 1×1 convolution to reduce computational cost. for example, if we directly apply 5×5 convolution we need to multiply for about 120M times whereas by introducing 1×1 convolution we reduce it by the factor of 10.

My question what effect does this have on the feature maps that are being learned or will the quality of feature maps differ if we had not used 1×1 convolution.

below is the screenshot of how we reduce multiplications from 120M to about 12M:

enter image description here

1 Answers
Best Answer
AvatarMannu answered 5 months ago
Your Answer

10 + 17 =

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