I am having an issue. I have completed my code in tensorflow for image classification in mnist dataset. It is working perfectly. But I want to implement some advancement in it.
Let's say I have a folder name my_data. In this folder I have only images of 1's and 2's. If I am moving 3's images in this folder and those images is less than 200 then don't start training if it is greater then it should start training.
I have tried to find everything but not able to find any solution regarding this mlops problem.
