Traceback (most recent call last):
  File "CNN_MNIST.py", line 42, in <module>
    clf = CNN.build(width=28, height=28, depth=1, total_classes=10, Saved_Weights_Path=args["save_weights"] if args["load_model"] > 0 else None)
  File "/home/user/Desktop/Handwritten-Digit-Recognition-using-Deep-Learning-master/CNN_Keras/cnn/neural_network.py", line 17, in build
    model.add(Conv2D(20, 5, 5, border_mode="same", input_shape=(depth, height, width)))
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 653, in __init__
    super(Conv2D, self).__init__(
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py", line 134, in __init__
    super(Conv, self).__init__(
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
    result = method(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 340, in __init__
    generic_utils.validate_kwargs(kwargs, allowed_kwargs)
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/utils/generic_utils.py", line 808, in validate_kwargs
    raise TypeError(error_message, kwarg)
TypeError: ('Keyword argument not understood:', 'border_mode')