如何解决“模型尚未建立” Keras错误?
我在使用CNN时遇到了此错误:
This model has not yet been built. Build the model first by calling `build()` or by calling the model on a batch of data.
我的代码在下面:
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import MaxPooling2D
from tensorflow.keras.callbacks import TensorBoard
model=Sequential()
model.add(Conv2D(32,5,input_shape=(1,28,28),activation='relu',data_format='channels_last'))
model.add(MaxPooling2D(pool_size=(2,2),strides=2))
model.add(Flatten())
model.add(Conv2D(64,5,input_shape=(1,28,28),activation='relu',data_format='channels_last'))
model.add(MaxPooling2D(pool_size=2,strides=2))
model.add(Flatten())
model.add(Dense(units=32,activation='relu'))
model.add(Dropout(0.4))
model.add(Dense(units=1,activation='softmax'))
model.summary()
I got this error while working with CNN:
This model has not yet been built. Build the model first by calling `build()` or by calling the model on a batch of data.
My code is below :
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import MaxPooling2D
from tensorflow.keras.callbacks import TensorBoard
model=Sequential()
model.add(Conv2D(32,5,input_shape=(1,28,28),activation='relu',data_format='channels_last'))
model.add(MaxPooling2D(pool_size=(2,2),strides=2))
model.add(Flatten())
model.add(Conv2D(64,5,input_shape=(1,28,28),activation='relu',data_format='channels_last'))
model.add(MaxPooling2D(pool_size=2,strides=2))
model.add(Flatten())
model.add(Dense(units=32,activation='relu'))
model.add(Dropout(0.4))
model.add(Dense(units=1,activation='softmax'))
model.summary()
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根据错误,运行:
According to the error, run: