Is there a regression layer for Convolutional neural network toolbox?
4 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
MathWorks Support Team
el 6 de Abr. de 2017
Editada: MathWorks Support Team
el 25 de Feb. de 2021
Is there a regression layer for Convolutional neural network toolbox? I am trying to use "Convolutional Neural Networks" (CNN) to do a regression analysis for ultrasound images to calculate parameters which can have predictive value. The application for regression layer includes all parameters which are in the real domain and not just integers. Can I use CNN for that?
Respuesta aceptada
MathWorks Support Team
el 25 de Feb. de 2021
Editada: MathWorks Support Team
el 25 de Feb. de 2021
Yes. The regression layer for Convolutional Neural Networks is appeared in R2017a Neural Network Toolbox. By defining regressionLayer at the last layer of the deep neural networks, the network computes regression models. Note that the last layer in classification is classificationLayer.
In R2016b or previous versions, the regression layer is not supported. Please refer to the Release Notes for more information on recent changes to this toolbox:
1 comentario
Michael Abboud
el 1 de Ag. de 2017
This functionality is not supported in the R2017a release. However, you can still use an image datastore to get the image file names, then just create a table with the file names in the first column and your regressors in the other columns, and feed it into trainNetwork.
Más respuestas (0)
Ver también
Categorías
Más información sobre Image Data Workflows en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!