How minibatch accuracy can go beyond 100% while training convolutional neural network?
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I am training CNN on expression data and I am getting sharp spikes in accuracy that goes beyond 100%, and loss goes less than 0. But when curve smoothed both accuracy and loss are in the limits (i.e. accuracy less than 100% and loss is greater than 0). How it is possible?
Total number of samples: 20500
Epoch: 5
Minibatch size: 25.
What am I doing wrong?
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