How could I use a designed loss function in training deep learning networks? Such as in faster r-cnn and cnn.
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Hello,
This is a problem that has puzzled me for a long time.
How could I use a designed loss function in training deep learning networks? Now, when training a deep neural network, we just use the 'trainFasterRCNNObjectDetector' or the 'trainNetwork' function. The loss function in each network is default.
But I want to use the loss function I designed.
Has anyone do it?
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