“第十四章 学习策略”版本间的差异
来自cslt Wiki
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* AI100问：什么是遗传算法[http://166.111.134.44:7777/caiyq/ai100/pdf/AI-100-25-%E4%BB%80%E4%B9%88%E6%98%AF%E9%81%97%E4%BC%A0%E7%AE%97%E6%B3%95.pdf] | * AI100问：什么是遗传算法[http://166.111.134.44:7777/caiyq/ai100/pdf/AI-100-25-%E4%BB%80%E4%B9%88%E6%98%AF%E9%81%97%E4%BC%A0%E7%AE%97%E6%B3%95.pdf] | ||
| + | * 百度百科：符号主义[https://baike.baidu.com/item/%E7%AC%A6%E5%8F%B7%E4%B8%BB%E4%B9%89/10570834] | ||
==演示链接== | ==演示链接== | ||
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==高级读者== | ==高级读者== | ||
| − | + | * Bayes demo[https://www.cs.cmu.edu/~15281-s20/demos/bayesNetDemo/] | |
| + | * Cranmer et al., Discovering Symbolic Models from Deep Learning with Inductive Biases [https://arxiv.org/abs/2006.11287] | ||
* 王东，机器学习导论,2021,清华大学出版社 [http://mlbook.cslt.org] | * 王东，机器学习导论,2021,清华大学出版社 [http://mlbook.cslt.org] | ||
* Pedro Domingos' Master Algorithm: How machine learning is reshaping how we live". Slate.com. Retrieved September 26, 2015 [https://www.amazon.com/s?k=9780465065707] | * Pedro Domingos' Master Algorithm: How machine learning is reshaping how we live". Slate.com. Retrieved September 26, 2015 [https://www.amazon.com/s?k=9780465065707] | ||
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2022年8月4日 (四) 06:21的版本
教学资料
扩展阅读
- 百度百科：符号主义[7]
演示链接
开发者资源
- Python package for rule induction: Rule kit [11] imodels[12]
- Python package for neural nets: PyTorch [13] TensorFlow[14] NeuralLab[15]
- Python package for Bayes network: bnlearn[16]pgmpy[17]pomegranate [18]
- Python package for evolutionary learning: PyGAD[19] geneticalgorithm2 [20] GeneAI[21]
