5
$\begingroup$

I'm new in this argument, my question is:

Can convolution be applied in other contexts different from image recognition? Is there a good source to learn from?

$\endgroup$
7
$\begingroup$

Yes, Convolutional Neural Networks(CNNs) can and have been applied to non-image problems. Arguably, any problem in which the location of a feature(s) is relevant can be attempted via CNNs. CNNs works under the assumption that points close to each other in the data share some correlations/relationship whist points further apart don't share as much information. So, theoretically, if you can phrase your problem so that it meets this requirement(s), it can be attempted by a convolutional neural network. Here are few applications of CNNss that are dont involve images:

| improve this answer | |
$\endgroup$
0
$\begingroup$

CNNs are generally designed for 2D (generally image) data. Hence, other usages are most likely a "hack" to CNN logic.

You can check how to extract features and classify texts with CNN through here.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.