I have a structured dataset having features and 570 classes. I have done a lot of experiments with the architecture but accuracy doesn’t increase. I also normalized the dataset before passing it into the model.
Here is the model architecture.
optimizer=‘adam’ also tried SGD(lr=0.01) as well
md=model.fit(X_train,Y_train,validation_data=(X_test,Y_test_c),epochs=1500,batch_size=512, verbose=2 ,shuffle=True, callbacks=[es])