我正在嘗試使用 Keras 構建人工神經網絡。模型的輸入尺寸為 (5, 5, 2)，而輸出尺寸為 (5,5)。在運行 keras.fit() 函數時，我遇到以下錯誤：ValueError: Error when checking target: expected dense_3 to have 4 dimensions, but got array with shape (5, 5)這是我正在執行的代碼from keras.models import Sequentialfrom keras.layers import Dense, Flattenimport matplotlib.pyplot as pltfrom keras.callbacks import EarlyStopping, ModelCheckpointmodel = Sequential()model.add(Dense(1000, input_shape=(5, 5, 2), activation="relu"))model.add(Dense(1000, activation="relu"))model.add(Dense(2), output_shape=(5,5))model.summary()model.compile(optimizer="adam",loss="mse", metrics = ["mse"])monitor_val_acc = EarlyStopping(monitor="loss", patience = 10)history = model.fit(trainX, trainYbliss, epochs=1000, validation_data=(testX, testY), callbacks = [monitor_val_acc], verbose = 1)clinical = model.predict(np.arange(0, len(testY)))這是網絡的架構：Layer (type)                 Output Shape              Param #   =================================================================dense_1 (Dense)              (None, 5, 5, 1000)        3000      _________________________________________________________________dense_2 (Dense)              (None, 5, 5, 1000)        1001000   _________________________________________________________________dense_3 (Dense)              (None, 5, 5, 1)           1001      =================================================================Total params: 1,005,001Trainable params: 1,005,001Non-trainable params: 0_________________________________________________________________模型應該基于 (5,5,2) 數組輸出 (5,5) 數組，但在最低隱藏層失敗。我該如何解決這個問題？