IP属地：山西
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Towards Principled Methods for Training Generative Adversarial Networks论文阅读
[toc] 1. Towards Principled Methods for Training Generative Adversarial ...
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DCGAN: Deep Convolutional Generative Adversarial Networks论文阅读
[toc] 1. Unsupervised Representation Learning with Deep Convolutional Ge...
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InfoGAN: Information Maximizing Generative Adversarial Nets论文阅读
[toc] 1. InfoGAN: Interpretable Representation Learning by Information M...
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Maxout Networks论文阅读
[toc] 1. Maxout Networks arXiv:1302.4389 [stat.ML]tensorflow2代码：https://...
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CGAN:Conditional Generative Adversarial Nets论文阅读[toc] 1. Conditional Generative Adversarial Nets arXiv:1411.1784 [cs.LG]...
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GAN:Generative Adversarial Nets论文阅读[toc] 1. Generative Adversarial Nets arXiv:1406.2661 [stat.ML]tensorflow...
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朴素贝叶斯
朴素贝叶斯：基于概率论的分类方法 优点：在数据较少的情况下仍然有效，可以处理多类别问题。 缺点：对于输入数据的准备方式较为敏感。 适用数据类型：...
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神经网络初始化
日期：2019.05.26参考：http://www.deeplearning.ai/ai-notes/initialization/ 神经网络...
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决策树
决策树 正方形代表判断模块（decision block），椭圆形代表终止模块（terminating block），表示已经得出结论，可以终止...