Max Pooling Layer Tuning
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hello,
I'm currently working on implementing a CNN for a regression problem, and I've encountered an issue when using the maxPooling2dLayer with a poolSize greater than 1. Here's the relevant part of my code:
Layers = [imageInputLayer([NIV 1 1])
convolution2dLayer(5, 15, 'Padding', 'same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2) % (poolSize > 1 leads to an error!!!)
reluLayer
dropoutLayer(0.5)
fullyConnectedLayer(1)
regressionLayer];
The problem arises when I try to set the poolSize in the maxPooling2dLayer to a value greater than 1. I receive the following errors:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error using trainNetwork (line 183)
Invalid network.
Error in CNN (line 280)
net = trainNetwork(XTrain, YTrain, Layers, Options);
Caused by:
Layer 5: Input size mismatch. Size of input to this layer is different from the expected input size.
Inputs to this layer:
from layer 4 (output size 6×1×15)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
I'm seeking assistance to resolve this issue. Any guidance or suggestions you could provide would be greatly appreciated.
Thank you!
2 Kommentare
Akzeptierte Antwort
Matt J
am 1 Sep. 2023
Your input image's spatial dimensions are 6x1. This is not compatible with a 2x2 maxpooling filter. Did you mean to have 2x1 pooling instead? If so,
maxPooling2dLayer([2,1])
3 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Image Data Workflows finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!