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SUMMARY.md
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+ [零、前言](docs/0.md) + [一、机器学习概览](docs/1.md) + [二、端到端的机器学习项目](docs/2.md) + [三、分类](docs/3.md) + [四、训练模型](docs/4.md) + [五、支持向量机](docs/5.md) + [六、决策树](docs/6.md) + [七、集成学习和随机森林](docs/7.md) + [八、降维](docs/8.md) + [十、使用 Keras 搭建人工神经网络](docs/10.md) + [十一、训练深度神经网络](docs/11.md) + [十二、使用 TensorFlow 自定义模型并训练](docs/12.md) + [十三、使用 TensorFlow 加载和预处理数据](docs/13.md) + [十四、使用卷积神经网络实现深度计算机视觉](docs/14.md) + [十五、使用 RNN 和 CNN 处理序列](docs/15.md) + [十六、使用 RNN 和注意力机制进行自然语言处理](docs/16.md) + [十七、使用自编码器和 GAN 做表征学习和生成式学习](docs/17.md) + [十八、强化学习](docs/18.md) + [十九、规模化训练和部署 TensorFlow 模型](docs/19.md)
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布客飞龙
authored
2020-12-31 15:21
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2020-12-31 15:21:06
零、前言
一、机器学习概览
二、端到端的机器学习项目
三、分类
四、训练模型
五、支持向量机
六、决策树
七、集成学习和随机森林
八、降维
十、使用 Keras 搭建人工神经网络
十一、训练深度神经网络
十二、使用 TensorFlow 自定义模型并训练
十三、使用 TensorFlow 加载和预处理数据
十四、使用卷积神经网络实现深度计算机视觉
十五、使用 RNN 和 CNN 处理序列
十六、使用 RNN 和注意力机制进行自然语言处理
十七、使用自编码器和 GAN 做表征学习和生成式学习
十八、强化学习
十九、规模化训练和部署 TensorFlow 模型
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