Help regularization and dropout are hurting accuracy

When I try to improve train accuracy by using L2 regularization and Dropout the model performs worse than without them. What am I doing wrong?

Also, please do give me any suggestions to improve validation accuracy.

My classification problem has 100 categories.

**Data:** I have 6865 samples which is an average of 68.65 samples per category. The category with the smallest number of samples has 52 samples and the one with the largest number of samples has 75.

Below is …

accuracy deeplearning dropout regularization