title: Getting a list of all known classes of vgg-16 in keras
body: <p>I use the pre-trained VGG-16 model from Keras.</p>
  
  <p>My working source code so far is like this:</p>
  
  <pre><code>from keras.applications.vgg16 import VGG16
  from keras.preprocessing.image import load_img
  from keras.preprocessing.image import img_to_array
  from keras.applications.vgg16 import preprocess_input
  from keras.applications.vgg16 import decode_predictions
  
  model = VGG16()
  
  print(model.summary())
  
  image = load_img('./pictures/door.jpg', target_size=(224, 224))
  image = img_to_array(image)  #output Numpy-array
  
  image = image.reshape((1, image.shape[0], image.shape[1], image.shape[2]))
  
  image = preprocess_input(image)
  yhat = model.predict(image)
  
  label = decode_predictions(yhat)
  label = label[0][0]
  
  print('%s (%.2f%%)' % (label[1], label[2]*100))
  </code></pre>
  
  <p>I wound out that the model is trained on 1000 classes. It there any possibility to get the list of the classes this model is trained on? Printing out all the prediction labels is not an option because there are only 5 returned.</p>
  
  <p>Thanks in advance</p>