“第十四章 学习策略”版本间的差异
来自cslt Wiki
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==开发者资源== | ==开发者资源== | ||
| − | * Python package for Bayes network: bnlearn[https://pypi.org/project/bnlearn/]pgmpy[https://pgmpy.org/index.html]pomegranate [https://pomegranate.readthedocs.io/en/latest/index.html] | + | * Python package for neural nets: PyTorch [https://pytorch.org/] TensorFlow[https://www.tensorflow.org/learn] NeuralLab[https://github.com/zueve/neurolab] |
| + | * Python package for Bayes network: bnlearn[https://pypi.org/project/bnlearn/]pgmpy[https://pgmpy.org/index.html]pomegranate [https://pomegranate.readthedocs.io/en/latest/index.html] | ||
* Python package for evolutionary learning: PyGAD[https://pygad.readthedocs.io/en/latest/] geneticalgorithm2 [https://pypi.org/project/geneticalgorithm2/] GeneAI[https://github.com/diogomatoschaves/geneal] | * Python package for evolutionary learning: PyGAD[https://pygad.readthedocs.io/en/latest/] geneticalgorithm2 [https://pypi.org/project/geneticalgorithm2/] GeneAI[https://github.com/diogomatoschaves/geneal] | ||
2022年8月4日 (四) 03:22的版本
教学资料
扩展阅读
演示链接
开发者资源
- Python package for neural nets: PyTorch [10] TensorFlow[11] NeuralLab[12]
- Python package for Bayes network: bnlearn[13]pgmpy[14]pomegranate [15]
- Python package for evolutionary learning: PyGAD[16] geneticalgorithm2 [17] GeneAI[18]
