Question

我想用keras（版本2.1.3）构建一个深度学习网络，逐帧分析视频流。我试图使用TimeDistributed层并得到我的网络：

video = keras.Input(shape=(32,150,150,3), name='video')
cnn = InceptionV3(weights = 'imagenet', include_top=False,pooling='avg')
cnn.trainable = False
frame_features = layers.TimeDistributed(cnn)(video)
video_vector = layers.LSTM(256)(frame_features)
predictions = Dense(101,  activation='softmax')(video_vector)
model = Model(inputs=video, outputs=predictions)

当我构建网络时出现错误：

ValueError: Variable batch_normalization_1/moving_mean/biased already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

  File "D:\install\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1269, in __init__
    self._traceback = _extract_stack()
  File "D:\install\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2506, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "D:\install\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
    op_def=op_def)

谁能告诉我如何解决这个问题？谢谢！

使用带有keras的TimeDistributed层时出错

0 个答案: