我在Tensorflow上使用python 3.6和Keras（2.0.9）
尝试下载经过训练的resnet50模型，但遇到以下错误：异常：https : //github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5上的URL提取失败：无- [SSL：CERTIFICATE_VERIFY_FAILED]证书验证失败（_ssl.c：777）
以下是使用的代码：
from keras.applications.resnet50 import ResNet50
from keras.preprocessing import image
from keras.applications.resnet50 import preprocess_input, decode_predictions
import numpy as np
model = ResNet50(weights='imagenet')
img_path = 'elephant.jpg'
img = image.load_img(img_path, target_size=(224, 224))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = preprocess_input(x)
model.summary()
preds = model.predict(x)
print('Predicted:', decode_predictions(preds, top=3)[0])