創建 CNN 模型的卷積層時發生錯誤。我不知道錯誤的原因以及如何處理它。我正在使用 keras 和 cifar10 實現 CNN，以使用 Python 3.5 進行機器學習。我在學習階段收到以下錯誤：檢查目標時出錯：預期dense_46 具有形狀(10,) 但得到形狀為(1,) 的數組它不適用于重塑標簽數組 (y_train)。#importimport tensorflow as tfimport kerasimport numpy as npimport matplotlib.pyplot as plt#get datafrom keras.datasets import cifar10(x_train, y_train), (x_test, y_test) = cifar10.load_data()#Image normalizationx_train = x_train / 255.0x_test = x_test / 255.0#Build a CNN modedef CNN_model():    model = keras.models.Sequential()    #1st convolutional layer    model.add(keras.layers.Conv2D(96, 11, strides=(4, 4), padding='valid', data_format='channels_last', activation='relu', bias_initializer='ones', input_shape=(32,32,3)))    model.add(keras.layers.normalization.BatchNormalization(axis=1))    model.add(keras.layers.MaxPooling2D(pool_size=(3, 3), strides=(2, 2), padding='valid', data_format='channels_last'))    #2nd convolutional layer    model.add(keras.layers.Conv2D(256, 2, strides=(4, 4), padding='valid', data_format='channels_last', activation='relu', bias_initializer='zeros'))    model.add(keras.layers.normalization.BatchNormalization(axis=1))    model.add(keras.layers.MaxPooling2D(pool_size=(1, 1), strides=(2, 2), padding='valid', data_format='channels_last'))    #3rd layer    model.add(keras.layers.Flatten())    model.add(keras.layers.Dense(4096))    model.add(keras.layers.Dropout(0.5))    model.add(keras.layers.Dense(4096))    model.add(keras.layers.Dropout(0.5))    #4th Softmax layer    model.add(keras.layers.Dense(10, activation='softmax'))    #compile    model.compile(optimizer=keras.optimizers.SGD(lr=0.01), loss='categorical_crossentropy', metrics=['accuracy'])    return model#Summarymodel = CNN_model()model.summary()