I am working on a CNN model in Google Colab for 3 class classification problem. I have a balanced class dataset with 1680 training sample (560 each) and 420 testing sample (140 each).I built a shallow network to train my data.But my model is overfitting after 7/8 epoch. I have applied all the possible techniques like Dropout, l2 regularization, data augmentation, Batch Normalization, reduce learning rate but there is no any changes in the model performance.