How to check the value of the kernel?

sdemyanov / ConvNet

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

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How to check the value of the kernel? #25

Open ybguo1 opened 9 years ago

ybguo1 commented 9 years ago

Thank you very much about your toolbox which helped us a lot. For now, I just do the image segmentation problems. To improve the performance of final results, I need to check the value of the kernel in each layer in the toolbox, when I try to use GPU, the output of the weight is a vector. Could you tell me how to change this weight in to standard structure (like N-by-N matrix)? Thank you very much.

sdemyanov commented 9 years ago

Hi. Yes, you can use the matlab functions getweights/setweights to transform a vector to layer weights and back.