Accuracy and Validation Accuracy of pretrained model is not changed

Question

I have approximately 6lakh images and I want to classify them using keras. I am just trying the pretrained model on greyscale images. And I am trying to use the model architecture of pre-trained models like resnet50, inceptionv3, etc. But accuracy and validation accuracy of the model has not changed which is stuck at 67%. I tried changing the network, applying more epochs and also changing the pretrained model, but I always get the same result like 67% accuracy and validation accuracy. I don't understand why I am getting the same result. Please recommended some ideas on how can I do solve this problem.

Answer 1

I think you are using a pre-trained model. so, that is why it gets showed the same accuracy. my suggestion is to change the pre-trained model and tryna your custom model and then see the changes.