I am in need of help, my keras model almost always predicts the same thing. My loss and val_loss both converge to about .6 and .4 respectively, which seems odd, but I have tried so many different methods from dropout, augmentation, standardization, tuning, etc etc. but nothing is working.

I’m trying to build a neural network that trains on my own data. It should classify a given image as one of the four types of rooms: bathroom, bedroom, kitchen, or office. The dataset consists of about 3000 images of each type. And this is how the code looks: