Improper initialization of classification layer in rcnn

Griffon Thomas asked: 2022-04-19 AI, Data Science, and Statistics , Deep Learning Toolbox , Deep Learning with Images , cnn , rcn

Learn how to avoid improper initialization of the classification layer in your RCNN models! Discover common pitfalls & best practices for optimal performance. G

Expert Answer

Kshitij Singh answered . 2025-07-14 13:47:57

As given here, you are improperly initializing the fullyConnectedLayer. Instead of using fullyConnectedLayer(10) try something like this.

classes = {'first', 'second'}
outputs = 1+numel(classes); % +1 for background class
layers = [imageInputLayer([2160 3840 3])
  convolution2dLayer([5 5],10)
  reluLayer()
  fullyConnectedLayer(outputs)
  softmaxLayer()
  classificationLayer()];

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