Is there a 'Pixel classification layer' equivalent for 1 dimensional vector 'Deep Network Designer'?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I am trying to test a theory where my input is a 1-dimensional vector with N elements. I wanto to use an 'Auto-encoder' like network structure to compute a new N element vector which should ideally match the output sequence. Also, each one of the N outputs can belong to one of three classes. Is there a way to do this?
0 commentaires
Réponses (1)
Raunak Gupta
le 7 Août 2020
Modifié(e) : Raunak Gupta
le 7 Août 2020
Hi,
There is 1-D convolutional layer which you can build using the methods described here and here. This way a encoder and decoder network can be built in 1-D. After that you can attach pixel classification layer at the end to complete the workflow. Since the output size is calculated automatically by pixelClassificationlayer, the 1-D input size will also work (Make sure to give appropriate batch size too). Using 1-D convolutional layer described in above answers you can build the autoencoder model.
0 commentaires
Voir également
Catégories
En savoir plus sur Deep Learning Toolbox dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!