参考:

https://blog.csdn.net/heiheiya/article/details/81111932

https://blog.csdn.net/c20081052/article/details/80745969

打开 model.py,找到load_weights  函数,大概在2842行,修改位置如下:

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def load_weights(self, filepath, by_name=False, exclude=None):
    """Modified version of the correspoding Keras function with
    the addition of multi-GPU support and the ability to exclude
    some layers from loading.
    exlude: list of layer names to excluce
    """
    import h5py

    #修改第一处
    #from keras.engine import topology
    from keras.engine import saving

    if exclude:
      by_name = True

    if h5py is None:
      raise ImportError('`load_weights` requires h5py.')
    f = h5py.File(filepath, mode='r')
    if 'layer_names' not in f.attrs and 'model_weights' in f:
      f = f['model_weights']

    # In multi-GPU training, we wrap the model. Get layers
    # of the inner model because they have the weights.
    keras_model = self.keras_model
    layers = keras_model.inner_model.layers if hasattr(keras_model, "inner_model")\
      else keras_model.layers

    # Exclude some layers
    if exclude:
      layers = filter(lambda l: l.name not in exclude, layers)

    if by_name:

      #修改第二处
      #topology.load_weights_from_hdf5_group_by_name(f, layers)
      saving.load_weights_from_hdf5_group_by_name(f, layers)
    else:

      #修改第三处
      #topology.load_weights_from_hdf5_group(f, layers)
      saving.load_weights_from_hdf5_group(f, layers)
    if hasattr(f, 'close'):
      f.close()

    # Update the log directory
    self.set_log_dir(filepath)

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修改成功以后保存,并重启,然后运行代码