Python ValueError:层密度_1的输入0与层不兼容：输入形状的轴-1应具有值128，但接收到与形状相同的输入

错误值错误：层密度_1的输入0与层不兼容：输入形状的预期轴-1的值为128，但收到的输入为形状（无，3200）

有谁能帮助我，因为我正在努力理解我的错误。短暂性脑缺血发作

num_classes = 1


model = Sequential()
model.add(Conv2D(64, kernel_size=3, activation="relu",input_shape=(64,64,3)))
model.add(Conv2D(64, kernel_size=3, activation="relu"))
model.add(Conv2D(64, kernel_size=3, activation="relu"))
model.add(MaxPooling2D(pool_size=(3,3)))
model.add(Dropout(0.2))

model.add(Conv2D(64, kernel_size=3, activation="relu"))
model.add(Conv2D(64, kernel_size=3, activation="relu"))
model.add(MaxPooling2D(pool_size=(3,3)))
model.add(Dropout(0.3))

model.add(Conv2D(128, kernel_size=3, activation="relu"))
model.add(MaxPooling2D(pool_size=(3,3)))
model.add(Dropout(0.5))

model.add(Flatten())

model.add(Dense(23, activation="softmax"))

model.summary()                      
  

model.compile(
optimizer='adam',
loss=tf.losses.SparseCategoricalCrossentropy(from_logits=True),
metrics=['accuracy'])    


model.fit(
train_ds,
validation_data=val_ds,
epochs=50,
batch_size=64
)