Source: Deep Learning on Medium
Getting poor validation accuracy if i split the data using sklearn train_test_split. it works fine if i split the data using subsetting as showen in this article.
Here is the complete code
My python repository. Contribute to gowtham91m/Python development by creating an account on GitHub.github.com
Please help me why my random spliting is not working. I am doing this because i want to do some image augumentation on train data set that i don’t want to apply on validation data.