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Image classification problem for acgan #242
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I have trained with mnist dataset for 1000 epochs, take out the discriminator,the classification accuracy is around 95%, But when increase the epochs to 5000,minibatch size to 128 the classification accuracy is terrible , and look at the confusion , it classified most of the image as '8', weird behavior..... |
Here is the code to test the accuracy, after training: |
(1)Model trained with mnist dataset. For the generated 1000 images,the classification accuracy is 100% for discriminator. For mnist test images, the classification accuracy is 99% for discriminator. Good classification effect.
(2)Model trained with cifar10 dataset. For the generated 1000 images,the classification accuracy is 100% for discriminator. For cifar10 test images, the classification accuracy is 35% for discriminator. Classification effect is poor.
What caused it and how to modify it?
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