import numpy as npfrom alexnet import alexnetWIDTH = 80HEIGHT = 60LR = 1e-3EPOCHS = 15MODEL_NAME = 'pygta_sa-car-{}-{}-{}-epochs.model'.format(LR, 'alextnetv2', EPOCHS)model = alexnet(WIDTH, HEIGHT, LR)train_data = np.load('training_data_v2.npy')train = train_data[:-500]test = train_data[-500:]X = np.array([i[0] for i in train]).reshape(-1,WIDTH,HEIGHT,1)Y = [i[1] for i in train]test_x = np.array([i[0] for i in test]).reshape(-1,WIDTH,HEIGHT,1)test_y = [i[1] for i in test]model.fit({'input': X}, {'targets': Y}, n_epoch=EPOCHS, validation_set=({'input': test_x}, {'targets': test_y}),     snapshot_step=500, show_metric=True, run_id=MODEL_NAME)# tensorboard --logdir=foo:F:\play_gta_sa\logmodel.save(MODEL_NAME)the files returned are:need a .model file in order to test the model gives a tensor flow error file not found with a file extension of .model
What are the files that are supposed to be returned from an alexnet model i trained?
machine learning;tensorflow