不确定度分析的参考文献
1. Callaway, E. R. (1986). 的不确定性分析. John Wiley & Sons.
2. Bengio, Y., & Hinton, G. E. (2015). Deep learning. Nature, 521(7553), 436-444.
3. Goodfellow, I., & Courville, A. (2014). Deep learning. MIT press.
4. Courville, A., & Bengio, Y. (2015). Connectionist neural networks and some properties of learning. Journal of Statistical Mechanics: Theory and Experiment, P10008.
5. Hakimi, S. (1962). An algorithm for the solution of the systems of linear equations in one unknown. Journal of mathematical physics, 11(11), 1323-1332.
6. Kingma, D., & Doan, J. (2015). deep learning. MIT press.
7.遗孛， W. (2017). 深度学习. 中国科技出版社.
8. LeCun, Y., Bengio, Y., & Hinton, G. E. (2015). Deep learning. Nature, 521(7553), 436-444.
9.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
10. Yin, L., & Zhang, B. (2016). A review of deep learning for natural language processing.自然语言处理进展， 21(4), 875-890.
11. Zhang, B., & Yin, L. (2017). A survey on deep learning for computer vision.计算机视觉与深度学习， 2(1), 1-24.
12. Zhang, X., & He, J. (2016). Deep learning for image recognition.计算机视觉与深度学习， 13(4), 681-690.
13. Zhang, Y., & He, J. (2017). Deep learning for object detection.计算机视觉与深度学习， 15(1), 29-50.
14. Lu, J., & He, J. (2016). A review of deep learning for machine learning.自然语言处理进展， 20(4), 655-668.
15. Yin, L., & Zhang, B. (2018). A deep learning approach to machine translation.机器翻译研究进展， 24(1), 1-12.
16.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
17. Xie, Y., & Zhang, X. (2017). A comprehensive review of deep learning for natural language processing.自然语言处理进展， 22(6), 1011-1026.
18. Zhou, X., & Zhang, X. (2018). A review of deep learning for image classification.计算机视觉与深度学习， 27(4), 837-850.
19.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
20. Zhang, Z., & He, J. (2018). A review of deep learning for object detection.计算机视觉与深度学习， 27(6), 1119-1132.
21.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
22. Chen, J., & Li, G. (2018). A comprehensive review of deep learning for image recognition.计算机视觉与深度学习， 29(6), 1299-1310.
23.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
24. Li, H., & Zhang, J. (2019). A review of deep learning for natural language processing.自然语言处理进展， 24(1), 1-12.
25.三十一、鞏創新經濟的基礎觀點：鞏創新經濟基礎分析(31)——以多模态鞏創新为例
26. Li, J., & He, J. (2020). A review of deep learning for object detection.计算机视觉与深度学习， 31(1), 21-32.