google colab tensorflow keras model 昨天完美運行但今天失敗

Question

我非常驚訝。 同樣的程序一切都很完美。 今天剛睡，打開google colab運行程序。 這是我的第一個深度學習項目。 昨天運行完美。 但是當我今天運行時，它給出了一個奇怪的錯誤。 需要幫忙。 為什么會出現這樣的錯誤？ 如何解決？ 谷歌colab截圖：

代碼：

  #Step3: test_img_path: Location of the image we want the model to predict
  test_img = image.load_img(test_img_path,target_size=(224,224))
  #Step4: Deep learning models expect a batch of images represented by array
  # At this stage we will have a processed image of size 224x224x3. 
  # Convert it to a batch of images denoted by nx224x224x3 where n denotes total images
  # In this case, n=1
  test_img_array = image.img_to_array(test_img)
  # Convert the array to a batch
  test_img_batch = np.expand_dims(test_img_array,axis=0)  
  #Step5: At the data level, an original image data is stored in the in terms of the pixels. 
  # Now, normalizing the image
  nor_testimg = preprocess_input(test_img_batch)  
  #Step6: Import the model and input our test image
  # Model here means, it is already trained by someone else and I don't have to do it again
  # Moreover, they made their hardwork or trained model freely available to every on on the keras, we just download it
  model = tf.keras.applications.resnet50.ResNet50()  
  #Step7: Lets see how and what the model would predict
  predict_testimg = model.predict(nor_testimg)
  # Decode the predictions
  print(decode_predictions(predict_testimg,top=3)[0]) 

在上面的代碼中， tf.keras.applications.re.net50.ResNet50()是導致我今天運行時出現問題的代碼。 同樣的程序昨天運行成功。 現在，如果我刪除結束括號tf.keras.applications.re.net50.ResNet50 ，它運行完美但在代碼的下一行中引發錯誤。

Answer 1

問題不在於你，它在於 Keras，因為它試圖用 utf 8 解碼字符串。如果我能得到它的更多部分，那么它可能會有所幫助