1.preprocess
2.design architecture
3.fit the model
4.evaluate the model
5.plot the validation loss and accuracy
6.predict with test dataset image
7.predict with user given image(apply all preprocess steps and predict using loaded model)
1. using image processing and ANN
2. using CNN with data augmentation
3. using CNN without data augmentation