or must I create the input and the output in a featuremap, where each cell corresponds to another cell?
NeuralNetwork how to give in input and output
10 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Kuno Bruswachtl
le 29 Déc 2021
Commenté : Kuno Bruswachtl
le 4 Jan 2022
hello,
I know to most of you this question might be silly and stupid but I cannot find the correct answer anywhere. I am stuck in the model training process with CNNs where I cannont find out the following: How to give the trainnetwork function the input as well as the output. My input in that case is a 1D cell array (6570x1) and my output is a 3D(10x10x5) cell array. I am familiar with how to do that in python, where the fit-function takes in both, the input as well as the output argument. Is there a similar way to do this in Matlab? Since I don´t see any solution to this. thank you so much in advance.
Réponse acceptée
Srivardhan Gadila
le 2 Jan 2022
As per my knowledge, the first approach is to use imageInputLayer as input layer of your network (I think with featureInputLayer as input layer it may not work) and prepare the training data according to the format mentioned in the images & responses sections of the trainNetwork function.
The following is a very basic example:
layers = [imageInputLayer([600 1 1])
resize3dLayer(OutputSize=[10 20 3])
regressionLayer];
analyzeNetwork(layers)
batchSize = 5;
xtrain = randn(600,1,1,batchSize);
ytrain = randn(10,20,3,batchSize);
options = trainingOptions("sgdm");
net = trainNetwork(xtrain,ytrain,layers,options)
The other way is to not use trainNetwork function and instead use dlnetwork & Deep Learning Custom Training Loops based workflow.
5 commentaires
Srivardhan Gadila
le 4 Jan 2022
As per my knowledge, in summary only if your input layer is sequencInputLayer then you can use cell arrays, for all other input layers the training data should either be a datastore, a table or numeric arrays.
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Image Data Workflows dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!