解决Keras模型训练中StopIteration错误: 训练数据生成器问题

The error message suggests that the generator used for training the model has raised a StopIteration exception. This exception is raised by Python when an iterator has reached its end and there are no more items to iterate over. In this case, it seems that the generator used to provide input data for training has completed all its iterations and has raised the StopIteration exception. This can happen if the generator is not properly implemented or if there are no more data samples to generate. To resolve this issue, you can check the implementation of the generator function and ensure that it is correctly generating data samples for each iteration of the training loop. Additionally, you can also check if your dataset has enough data samples to continue training for the specified number of epochs.'}