Convolution Layer: The layer that takes over 70% of time in a Machine Learning model

Convolutional Layer is the most important layer in a Machine Learning model where the important features from the input are extracted and where most of the computational time (>=70% of the total inference time) is spent.

Read this article to understand Convolution layer in depth

Have a doubt or thought? Join the discussion now

This is a companion discussion topic for the original entry at