Concatenate SSCB results from image layer with numeric CB feature data in deep learning model.
1 view (last 30 days)
Show older comments
I'm using trainNetwork() for transfer learning. I've set up a concatenation layer for combining metadata as an auxilary input with our image data to help with classifications.
I'm getting the following error.
Invalid network.
Caused by:
Layer 'concat': Input size mismatch. Size of input to this layer is different from the expected input size.
Inputs to this layer:
from layer 'prob' (size 1(S) × 1(S) × 8(C) × 1(B))
from layer 'features' (size 10(C) × 1(B))
How can I address this?
0 Comments
Answers (1)
yanqi liu
on 2 Dec 2021
yes,sir,is the classes number 10?may be use
layersTransfer = net.Layers(1:end-3);
numClasses = 10;
layers = [
layersTransfer
fullyConnectedLayer(numClasses,'WeightLearnRateFactor',20,'BiasLearnRateFactor',20)
softmaxLayer
classificationLayer];
0 Comments
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!