Back

Explore Courses Blog Tutorials Interview Questions
0 votes
2 views
in AI and Deep Learning by (55.6k points)

Can anyone explain why is convolutional neural network better than feed-forward network?

1 Answer

0 votes
by (119k points)

Convolutional neural network is better than a feed-forward network since CNN has features parameter sharing and dimensionality reduction. Because of parameter sharing in CNN, the number of parameters is reduced thus the computations also decreased. The main intuition is the learning from one part of the image is also useful in another part of the image. Because of the dimensionality reduction in CNN, the computational power needed is reduced. 

In case you want to learn Convolutional Neural Network, I recommend registering for this AI course by Intellipaat.

You can watch this video on How CNN works to know why CNN is better than a feed-forward network:

Browse Categories

...