ValueError：调用层“max_pooling2d_9”时遇到异常（类型 MaxPooling2D）

Question

我在为计算机视觉制作 VG16 model 时遇到了问题，问题与激活 softmax 的最后一层有关

代码：

model_2 = Sequential([
      Conv2D(input_shape=X_train.shape[1:], filters=64, kernel_size=(3,3,), padding='same'),
      Conv2D(filters=64, kernel_size=3, padding='same', activation='relu'),
      MaxPool2D(strides=(2,2)),
      Conv2D(128, 3, padding='same', activation='relu'),
      Conv2D(128, 3, padding='same', activation='relu'),
      MaxPool2D(strides=(2,2)),
      Conv2D(256, kernel_size=(3,3), padding='same', activation='relu'),
      Conv2D(256, 3, padding='same', activation='relu'),
      Conv2D(256, 3, padding='same', activation='relu'),
      MaxPool2D(strides=(2,2)),
      Conv2D(512, 3, padding='same', activation='relu'),
      Conv2D(512, 3, padding='same', activation='relu'),
      Conv2D(512, 3, padding='same', activation='relu'),
      MaxPool2D(strides=(2,2)),
      Conv2D(512, 3, padding='same', activation='relu'),
      Conv2D(512, 3,padding='same', activation='relu'),
      Conv2D(512, 3, padding='same', activation='relu'),
      MaxPool2D(strides=(2,2)),
      Flatten(),
      Dense(10, activation='softmax')
])

错误：

---> 21       Dense(10, activation='softmax')
     22 ])
in _create_c_op(graph, node_def, inputs, control_inputs, op_def)
   1937   except errors.InvalidArgumentError as e:
   1938     # Convert to ValueError for backwards compatibility.
-> 1939     raise ValueError(e.message)
   1940 
   1941   return c_op
ValueError: Exception encountered when calling layer "max_pooling2d_9" (type MaxPooling2D).

Negative dimension size caused by subtracting 2 from 1 for '{{node max_pooling2d_9/MaxPool}} = MaxPool[T=DT_FLOAT, data_format="NHWC", explicit_paddings=[], ksize=[1, 2, 2, 1], padding="VALID", strides=[1, 2, 2, 1]](Placeholder)' with input shapes: [?,1,1,512].