Info
Cette question est clôturée. Rouvrir pour modifier ou répondre.
How do I configure a network to accept an arbitrary object as the network input?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
As most of the examples provided use images as their input, I was wondering if there is logic in place to allow for an object or arbitrary sized non image to be accepted as a network input? I have done work with other fixed sized data inputs into models and see that differing images sizes can now be accepted in some cases.
0 commentaires
Réponses (1)
Walter Roberson
le 29 Mar 2017
There is no logic in place to allow arbitrary objects to be accepted as inputs for neural networks. Mathematical calculations are done on the inputs, but arbitrary objects do not support mathematical calculations.
Neural Networks require numeric vectors of "features", but the underlying tools do not care whether the features are extracted from "images" or audio files or just plain "data".
Some of the interfaces such as Convolutional Neural Networks expect images because image processing is what they are optimized for.
If you have a particular interface in mind, then possibly someone could estimate the effort to change it to use a different form of input.
2 commentaires
Walter Roberson
le 29 Mar 2017
You could create a simple function that extracted the location information from the point cloud and ran the NN on it.
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!