flower.py

model.compile(optimizer=Adam(lr=0.0001),loss='categorical_crossentropy',metrics=['accuracy'])
batch_size=32
epochs=64
history = model.fit_generator(datagen.flow(X_train,y_train, batch_size=batch_size),
                              epochs = epochs,
                              validation_data = (X_test,y_test),
                              verbose = 1)