Forward And Backpropagation in Convolutional Neural Network.

Sujit Rai
Sujit Rai
Dec 24, 2017 · 3 min read

Forward and Backward Propagation using Convolution operation.

Notice that here the filter is not rotated for sake of simplicity, therefore here convolution is same as correlation
Here, E is the error obtained.
Here ‘δX’ represents the gradients of error with respect to X

Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch
Follow all the topics you care about, and we’ll deliver the best stories for you to your homepage and inbox. Explore
Get unlimited access to the best stories on Medium — and support writers while you’re at it. Just $5/month. Upgrade