non_augment_model.py

# Compile
optim = RMSprop(learning_rate=0.00001)
model.compile(loss='categorical_crossentropy',
              optimizer=optim,
              metrics=['accuracy'])
# Fit
history = model.fit(x_train,y_train,
                    epochs=25,
                    validation_data=(x_test,y_test),
                    batch_size=32,
                    verbose=1)