您可以使用自定义回调，以便在每个epoch之后打印出错误分类图像的索引，但这需要重新训练模型。

from keras.callbacks import Callback
import numpy as np

class CustomCallback(Callback):
def __init__(self, x_data, y_data, batch_size):
    super().__init__()
    self.x_data = x_data
    self.y_data = y_data
    self.batch_size = batch_size

def on_epoch_end(self, epoch, logs={}):
    y_pred = self.model.predict(self.x_data)

    # Compare the predicted labels to the true labels
    indices = np.where(np.argmax(y_pred, axis=-1) != np.argmax(self.y_data, axis=-1))[0]

    # print the indices of the wrong labeled images
    print(f"Epoch {epoch+1} - Misclassified images indices: {indices.tolist()}")

现在将其添加到www.example.com中的回调model.fit

callback = CustomCallback(x_train, y_train, batch_size)
   history = model.fit(x_train, y_train, batch_size=batch_size, epochs=num_epochs, callbacks=[callback])