I commented from the different account by mistake. After looking at everyone’s comment. I tried without dropout and the same thing is happening. I am not using any data augmentation except the rescaling (1/.255).

There is no data augmentation suing. Should I use data augmentation?

>Views

Yeah I am using conventional softmax + CE loss function which is the most common for multinomial outcomes. Which regularization method would you suggest me to use and what's the main reason why test acc should be less than train acc?

There are 9 Classes in the dataset labelled as 1 - 9. These are 7916 images in training and 1979 images in testing. All the classes are equally proportioned except 1 class which has more images.

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Training accuracy is around 96% and testing is around 98%.

I am using a stratified test/train split. "train_df, test_df = model_selection.train_test_split(
df, test_size=0.2, random_state=42, stratify=df['Class']
)"

All the classes are equally proportioned except 1 class. I am using dropout layer in the model for training. Is the dropout layer creating this issue?

I am using this split "train_df, test_df = model_selection.train_test_split(
df, test_size=0.2, random_state=42, stratify=df['Class']
)"

Yeah, I am using dropout layer in the model to avoid overfitting. So am I supposed to remove the dropout layer?

Thanks a lot man! I am really sorry for asking to write code.

And I searched on the internet to split the csv file according to image paths but I only found 1 method of splitting it into different folders. Didn’t found any solution based on pandas.

Nice try!

I saw your some previous post asking for datasets and some basic advice? Why are you asking for such basic questions? You could have just searched it on the internet.

I am not asking people to do my task. I was just asking them to tell me the command for which I am sorry I already told you. You should be ashamed for behaving horribly instead of giving constructive criticism. Shame on you.

Sorry, if I am way too lazy for you. Just an advice, Please be kind for the world. You could have just given me an advice instead of just being harsh on me. Be kind and humble!

Just a last question, do you know any good resource to learn the basics for Pandas?

Thanks for such a good answer and I will keep in mind all you said and start learning basics. I don’t know why other guys are just straight up criticising me. What I did I split the images into 2 folders train and test and then further classified into folders (Class 1 and Class 2). Then I am thinking of using train data generator for training.

What happened? What’s your problem? Am I not allowed to ask any question?

But the images are present in some other folder. Can you send me the code for that?

Can you write the code for that?