使用 Keras 中预训练的 VGG16 进行图像分类

加载模型是一个单行操作：

from keras.applications import VGG16
model=VGG16(weights='imagenet')

我们可以使用这个模型来预测类的概率：

probs = model.predict(images_test)

以下是此分类的结果：

Probability 99.41% of [zebra]
Probability 0.19% of [tiger cat]
Probability 0.13% of [goose]
Probability 0.09% of [tiger, Panthera tigris]
Probability 0.02% of [mushroom]

Probability 87.50% of [horse cart, horse-cart]
Probability 5.58% of [Arabian camel, dromedary, Camelus dromedarius]
Probability 4.72% of [plow, plough]
Probability 1.03% of [dogsled, dog sled, dog sleigh]
Probability 0.31% of [wreck]

Probability 34.96% of [Siamese cat, Siamese]
Probability 12.71% of [toy terrier]
Probability 10.15% of [Boston bull, Boston terrier]
Probability 6.53% of [Italian greyhound]
Probability 6.01% of [Cardigan, Cardigan Welsh corgi]

Probability 56.41% of [junco, snowbird]
Probability 38.08% of [chickadee]
Probability 1.93% of [bulbul]
Probability 1.35% of [hummingbird]
Probability 1.09% of [house finch, linnet, Carpodacus mexicanus]

Probability 54.19% of [brown bear, bruin, Ursus arctos]
Probability 28.07% of [lion, king of beasts, Panthera leo]
Probability 0.87% of [Norwich terrier]
Probability 0.82% of [Lakeland terrier]
Probability 0.73% of [wild boar, boar, Sus scrofa]

Probability 88.64% of [brown bear, bruin, Ursus arctos]
Probability 7.22% of [American black bear, black bear, Ursus americanus, Euarctos americanus]
Probability 4.13% of [sloth bear, Melursus ursinus, Ursus ursinus]
Probability 0.00% of [badger]
Probability 0.00% of [wombat]

Probability 38.70% of [jaguar, panther, Panthera onca, Felis onca]
Probability 33.78% of [leopard, Panthera pardus]
Probability 14.22% of [cheetah, chetah, Acinonyx jubatus]
Probability 6.15% of [banded gecko]
Probability 1.53% of [snow leopard, ounce, Panthera uncia]

Probability 12.54% of [shower curtain] 
Probability 2.82% of [binder, ring-binder] 
Probability 2.28% of [toilet tissue, 
    toilet paper, bathroom tissue] 
Probability 2.12% of [accordion, piano accordion, squeeze box] 
Probability 2.05% of [bath towel]

它无法识别绵羊，长颈鹿以及狗的图像被裁剪出来的最后一张噪音图像。现在，让我们用我们的数据集再训练 Keras 中的模型。