My goal is to train a neural network to classify objects form pictures of my webcam. I use transfer learning with Alexnet and I have a labeled training data set with 25,000 images.
My training script works perfectly, but the progress of the iterations during training is very slow. I have the Parallel Computing Toolbox installed and the training runs on the Single GPU. But when looking at the task manager, Matlab only uses 13 % of the CPU and just 2 % of the GPU. Why does not Matlab use more resources to speed up the training process?
The software is Windows 10 and I have the newest version of Matlab 64bit installed.
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