[Python] downloading ResNet50 in Keras generates "SSL: CERTIFICATE_VERIFY_FAILED"

I am using python 3.6 and Keras (2.0.9) over Tensorflow

trying to download trained models of resnet50 but encounter the following error: Exception: URL fetch failure on https://github.com/fchollet/deep-le...esnet50_weights_tf_dim_ordering_tf_kernels.h5: None -- [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:777)

the following is the code used:

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])

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