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Mr Su,
I ran your code of mvcnn, and I've found a problem in the code. The training epoch is split into 3 stages, while theoretically the learningRates of every layer differ in different stage. However, the learningRates cannot be modified when stage changes, and only the last layer of the net may change during the whole training process.
The text was updated successfully, but these errors were encountered:
I have found the exact issue as well. I am curious to know did Mr. Su reported their accuracy when only the last layer is learned? Or he had a working version of the code.
Mr Su,
I ran your code of mvcnn, and I've found a problem in the code. The training epoch is split into 3 stages, while theoretically the learningRates of every layer differ in different stage. However, the learningRates cannot be modified when stage changes, and only the last layer of the net may change during the whole training process.
The text was updated successfully, but these errors were encountered: