Accuracy greater than 100% on loading a keras model and training it further
I am into this weird problem where i loaded a pre trained keras model which was trained for 300 iteration on cifar10 dataset and had a test accuracy of 67%. Now i loaded the model and trained it for few iterations more but this time got test accuracy of 267%.
How is that possible? What would be possibly wrong?