我正在尝试使用 keras 构建二元分类模型，对图像进行分类。 我试图建立一个模型，但我遇到了问题。我写了这段代码：
from tensorflow.keras.models import Sequential
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
model = Sequential()
model.add(Conv2D(32,3,3, input_shape = (64,64,3), activation = 'relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Flatten)
model.add(Dense(output_dim = 128, activation= 'relu'))
model.add(Dense(output_dim = 1, activatiocn = 'sigmoid'))
model.compile(optimizer='adam', loss= 'binary_crossentropy', metrics= ['accuracy'])
我遇到了这个错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_22380\391641818.py in <module>
2 model.add(Conv2D(32,3,3, input_shape = (64,64,3), activation = 'relu'))
3 model.add(MaxPooling2D(pool_size=(2,2)))
----> 4 model.add(Flatten)
5 model.add(Dense(output_dim = 128, activation= 'relu'))
6 model.add(Dense(output_dim = 1, activatiocn = 'sigmoid'))
c:\Users\vbuck\anaconda3\envs\py37\lib\site-packages\tensorflow\python\training\tracking\base.py in _method_wrapper(self, *args, **kwargs)
455 self._self_setattr_tracking = False # pylint: disable=protected-access
456 try:
--> 457 result = method(self, *args, **kwargs)
458 finally:
459 self._self_setattr_tracking = previous_value # pylint: disable=protected-access
c:\Users\vbuck\anaconda3\envs\py37\lib\site-packages\tensorflow\python\keras\engine\sequential.py in add(self, layer)
180 raise TypeError('The added layer must be '
181 'an instance of class Layer. '
--> 182 'Found: ' + str(layer))
183
184 tf_utils.assert_no_legacy_layers([layer])
TypeError: The added layer must be an instance of class Layer. Found: <class 'tensorflow.python.keras.layers.core.Flatten'>
请告诉我我的代码有什么问题？
Flatten 中缺少括号：
model.add（展平（））