Hi all, For some reason I am encountering the following problem: I trained an alexnet type model until the training accuracy is about 100%, which is the output of the training process. To validate the model, I manually load the last checkpoint and then predict on the training data. But the accuracy drops to about 80%. I think something must be wrong. I tried adding or removing the mean RGB but it seems the same.
Anyone with experience on this issue? Any suggestion is highly appreciated. Thanks. -- J [ Full content available at: https://github.com/apache/incubator-mxnet/issues/12707 ] This message was relayed via gitbox.apache.org for [email protected]
