Question

执行以下用于图像分类的Python代码时出现以下错误。

    from keras.models import Sequential
    from keras.layers import Conv2D
    from keras.layers import MaxPooling2D
    from keras.layers import Flatten
    from keras.layers import Dense


    # Initialising the CNN
    classifier = Sequential()

    # Step 1 - Convolution
    classifier.add(Conv2D(32, (3, 3), input_shape = (64, 64, 3), activation = 'relu'))

当我在这里执行第1步时，我收到以下错误。

Traceback (most recent call last):

  File "<ipython-input-230-373aa5a74134>", line 1, in <module>
    classifier.add(Conv2D(32, (3, 3), input_shape = (64, 64, 3), activation = 'relu'))

  File "C:\Users\naveenn\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\models.py", line 467, in add
    layer(x)

  File "C:\Users\naveenn\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\engine\topology.py", line 575, in __call__
    self.assert_input_compatibility(inputs)

  File "C:\Users\naveenn\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\engine\topology.py", line 448, in assert_input_compatibility
    str(inputs) + '. All inputs to the layer '

ValueError: Layer conv2d_55 was called with an input that isn't a symbolic tensor. Received type: <class 'tensorflow.python.framework.ops.Tensor'>. Full input: [<tf.Tensor 'conv2d_55_input:0' shape=(?, 64, 64, 3) dtype=float32>]. All inputs to the layer should be tensors.

如果我在classifier.add()中运行代码，它对我来说工作正常，并且不会返回任何错误。我在下面提到的代码

A = Conv2D(32, (3, 3), input_shape = (64, 64, 3), activation = 'relu')

这里我使用的是keras 2.1.5和tensorflow 1.2.1

使用不是符号张量的输入调用层conv2d_53

0 个答案: