深度学习编程基础

编程基础 • 2024-10-01 17:21 • 阅读 35

配套纸质版教材： 刘远超. 《深度学习基础》. 高等教育出版社. 2023年9月第一版.

教材封面图

教材各章关系图

参考文献：

1. 李航.《统计学习方法》.清华大学出版社. 2012年第一版

2. 深度学习编程基础Ian Goodfellow、Yoshua Bengio, Aaron Courville. Deep Learning(花书). 人民邮电出版社， 2017年出版

3. https://scikit-learn.org/

4. https://en.wikipedia.org/wiki/

5. https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html

6. https://www.nltk.org/

7. https://pypi.org/project/jieba/

8. https://colah.github.io/posts/2015-08-Understanding-LSTMs/

9. Yang Z, Yang D, Dyer C, et al. Hierarchical attention networks for document classification[C]//Proceedings of NAACL-HLT. 2016: 1480-1489

10.Cho K, Van Merrienboer B, Gulcehre C, et al. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation[J]. Eprint Arxiv, 2014.

11. Schuster M, Paliwal K K. Bidirectional recurrent neural networks[J]. Signal Processing, IEEE Transactions on, 1997, 45(11): 2673-2681.

12.Socher et al.. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, EMNLP 2011

13. Socher R, Huval B, Manning C D, et al. Semantic compositionality through recursive matrix-vector spaces[C]// Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 2012:1201-1211.

14. Socher, R., Perelygin, A., Wu, J. Y., Chuang, J., Manning, C. D., & Ng, A. Y., et al. (2013). Recursive deep models for semantic compositionality over a sentiment treebank. EMNLP 2013. page 1631--1642

15. Diederik P Kingma, Max Welling (2013). Auto-Encoding Variational Bayes. ICLR 2014

16. Goodfellow, Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). Generative Adversarial Networks (PDF). Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014). pp. 2672–2680.

17. https://www.cs.uic.edu/~liub/FBS

18. 华为mindspore官网：https://mindspore.cn

19. 华为mindspore开源代码仓：https://gitee.com/mindspore/mindspore

深度学习编程基础

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