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Is dropout disabled?

Open nicolasrosa opened this issue 6 years ago • 1 comments

"Following the set of these up-sampling blocks, dropout is applied and succeeded by a final convolutional layer yielding the prediction."

However, in the fcrn.py code, the value of keep_prop is always equal to 1.

.dropout(name='drop', keep_prob=1.)

FIX: .dropout(name='drop', keep_prob=self.keep_prob)

Is that correct?

nicolasrosa avatar Jul 30 '18 21:07 nicolasrosa

Dropout probabilistically keeps a neuron activated usually only during training time. I guess the code here is for inference, where the dropout keep probability is usually set to 1.0

dagap avatar Mar 21 '19 14:03 dagap