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+ [总结](docs/mastering-tf-1x-zh/258.md)
+ [张量处理单元](docs/mastering-tf-1x-zh/259.md)
+ [TensorFlow 机器学习秘籍中文第二版](docs/tf-ml-cookbook-2e-zh/README.md)
+ [TensorFlow 入门](docs/tf-ml-cookbook-2e-zh/0.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/1.md)
+ [TensorFlow 如何工作](docs/tf-ml-cookbook-2e-zh/2.md)
+ [声明变量和张量](docs/tf-ml-cookbook-2e-zh/3.md)
+ [使用占位符和变量](docs/tf-ml-cookbook-2e-zh/4.md)
+ [使用矩阵](docs/tf-ml-cookbook-2e-zh/5.md)
+ [声明操作符](docs/tf-ml-cookbook-2e-zh/6.md)
+ [实现激活函数](docs/tf-ml-cookbook-2e-zh/7.md)
+ [使用数据源](docs/tf-ml-cookbook-2e-zh/8.md)
+ [其他资源](docs/tf-ml-cookbook-2e-zh/9.md)
+ [TensorFlow 的方式](docs/tf-ml-cookbook-2e-zh/10.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/11.md)
+ [计算图中的操作](docs/tf-ml-cookbook-2e-zh/12.md)
+ [对嵌套操作分层](docs/tf-ml-cookbook-2e-zh/13.md)
+ [使用多个层](docs/tf-ml-cookbook-2e-zh/14.md)
+ [实现损失函数](docs/tf-ml-cookbook-2e-zh/15.md)
+ [实现反向传播](docs/tf-ml-cookbook-2e-zh/16.md)
+ [使用批量和随机训练](docs/tf-ml-cookbook-2e-zh/17.md)
+ [把所有东西结合在一起](docs/tf-ml-cookbook-2e-zh/18.md)
+ [评估模型](docs/tf-ml-cookbook-2e-zh/19.md)
+ [线性回归](docs/tf-ml-cookbook-2e-zh/20.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/21.md)
+ [使用矩阵逆方法](docs/tf-ml-cookbook-2e-zh/22.md)
+ [实现分解方法](docs/tf-ml-cookbook-2e-zh/23.md)
+ [学习 TensorFlow 线性回归方法](docs/tf-ml-cookbook-2e-zh/24.md)
+ [理解线性回归中的损失函数](docs/tf-ml-cookbook-2e-zh/25.md)
+ [实现 deming 回归](docs/tf-ml-cookbook-2e-zh/26.md)
+ [实现套索和岭回归](docs/tf-ml-cookbook-2e-zh/27.md)
+ [实现弹性网络回归](docs/tf-ml-cookbook-2e-zh/28.md)
+ [实现逻辑回归](docs/tf-ml-cookbook-2e-zh/29.md)
+ [支持向量机](docs/tf-ml-cookbook-2e-zh/30.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/31.md)
+ [使用线性 SVM](docs/tf-ml-cookbook-2e-zh/32.md)
+ [简化为线性回归](docs/tf-ml-cookbook-2e-zh/33.md)
+ [在 TensorFlow 中使用内核](docs/tf-ml-cookbook-2e-zh/34.md)
+ [实现非线性 SVM](docs/tf-ml-cookbook-2e-zh/35.md)
+ [实现多类 SVM](docs/tf-ml-cookbook-2e-zh/36.md)
+ [最近邻方法](docs/tf-ml-cookbook-2e-zh/37.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/38.md)
+ [使用最近邻](docs/tf-ml-cookbook-2e-zh/39.md)
+ [使用基于文本的距离](docs/tf-ml-cookbook-2e-zh/40.md)
+ [使用混合距离函数的计算](docs/tf-ml-cookbook-2e-zh/41.md)
+ [使用地址匹配的示例](docs/tf-ml-cookbook-2e-zh/42.md)
+ [使用最近邻进行图像识别](docs/tf-ml-cookbook-2e-zh/43.md)
+ [神经网络](docs/tf-ml-cookbook-2e-zh/44.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/45.md)
+ [实现操作门](docs/tf-ml-cookbook-2e-zh/46.md)
+ [使用门和激活函数](docs/tf-ml-cookbook-2e-zh/47.md)
+ [实现单层神经网络](docs/tf-ml-cookbook-2e-zh/48.md)
+ [实现不同的层](docs/tf-ml-cookbook-2e-zh/49.md)
+ [使用多层神经网络](docs/tf-ml-cookbook-2e-zh/50.md)
+ [改进线性模型的预测](docs/tf-ml-cookbook-2e-zh/51.md)
+ [学习玩井字棋](docs/tf-ml-cookbook-2e-zh/52.md)
+ [自然语言处理](docs/tf-ml-cookbook-2e-zh/53.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/54.md)
+ [使用词袋嵌入](docs/tf-ml-cookbook-2e-zh/55.md)
+ [实现 TF-IDF](docs/tf-ml-cookbook-2e-zh/56.md)
+ [使用 Skip-Gram 嵌入](docs/tf-ml-cookbook-2e-zh/57.md)
+ [使用 CBOW 嵌入](docs/tf-ml-cookbook-2e-zh/58.md)
+ [使用 word2vec 进行预测](docs/tf-ml-cookbook-2e-zh/59.md)
+ [使用 doc2vec 进行情绪分析](docs/tf-ml-cookbook-2e-zh/60.md)
+ [卷积神经网络](docs/tf-ml-cookbook-2e-zh/61.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/62.md)
+ [实现简单的 CNN](docs/tf-ml-cookbook-2e-zh/63.md)
+ [实现先进的 CNN](docs/tf-ml-cookbook-2e-zh/64.md)
+ [重新训练现有的 CNN 模型](docs/tf-ml-cookbook-2e-zh/65.md)
+ [应用 StyleNet 和 NeuralStyle 项目](docs/tf-ml-cookbook-2e-zh/66.md)
+ [实现 DeepDream](docs/tf-ml-cookbook-2e-zh/67.md)
+ [循环神经网络](docs/tf-ml-cookbook-2e-zh/68.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/69.md)
+ [为垃圾邮件预测实现 RNN](docs/tf-ml-cookbook-2e-zh/70.md)
+ [实现 LSTM 模型](docs/tf-ml-cookbook-2e-zh/71.md)
+ [堆叠多个 LSTM 层](docs/tf-ml-cookbook-2e-zh/72.md)
+ [创建序列到序列模型](docs/tf-ml-cookbook-2e-zh/73.md)
+ [训练 Siamese RNN 相似性度量](docs/tf-ml-cookbook-2e-zh/74.md)
+ [将 TensorFlow 投入生产](docs/tf-ml-cookbook-2e-zh/75.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/76.md)
+ [实现单元测试](docs/tf-ml-cookbook-2e-zh/77.md)
+ [使用多个执行程序](docs/tf-ml-cookbook-2e-zh/78.md)
+ [并行化 TensorFlow](docs/tf-ml-cookbook-2e-zh/79.md)
+ [将 TensorFlow 投入生产](docs/tf-ml-cookbook-2e-zh/80.md)
+ [生产环境 TensorFlow 的一个例子](docs/tf-ml-cookbook-2e-zh/81.md)
+ [使用 TensorFlow 服务](docs/tf-ml-cookbook-2e-zh/82.md)
+ [更多 TensorFlow](docs/tf-ml-cookbook-2e-zh/83.md)
+ [介绍](docs/tf-ml-cookbook-2e-zh/84.md)
+ [可视化 TensorBoard 中的图](docs/tf-ml-cookbook-2e-zh/85.md)
+ [使用遗传算法](docs/tf-ml-cookbook-2e-zh/86.md)
+ [使用 k 均值聚类](docs/tf-ml-cookbook-2e-zh/87.md)
+ [求解常微分方程组](docs/tf-ml-cookbook-2e-zh/88.md)
+ [使用随机森林](docs/tf-ml-cookbook-2e-zh/89.md)
+ [使用 TensorFlow 和 Keras](docs/tf-ml-cookbook-2e-zh/90.md)
+ [一、TensorFlow 入门](docs/tf-ml-cookbook-2e-zh/ch01.md)
+ [二、TensorFlow 的方式](docs/tf-ml-cookbook-2e-zh/ch02.md)
+ [三、线性回归](docs/tf-ml-cookbook-2e-zh/ch03.md)
+ [四、支持向量机](docs/tf-ml-cookbook-2e-zh/ch04.md)
+ [五、最近邻方法](docs/tf-ml-cookbook-2e-zh/ch05.md)
+ [六、神经网络](docs/tf-ml-cookbook-2e-zh/ch06.md)
+ [七、自然语言处理](docs/tf-ml-cookbook-2e-zh/ch07.md)
+ [八、卷积神经网络](docs/tf-ml-cookbook-2e-zh/ch08.md)
+ [九、循环神经网络](docs/tf-ml-cookbook-2e-zh/ch09.md)
+ [十、将 TensorFlow 投入生产](docs/tf-ml-cookbook-2e-zh/ch10.md)
+ [十一、更多 TensorFlow](docs/tf-ml-cookbook-2e-zh/ch11.md)
+ [与 TensorFlow 的初次接触](docs/first_contact_with_tensorFlow/README.md)
+ [前言](docs/first_contact_with_tensorFlow/0.md)
+ [1. TensorFlow 基础知识](docs/first_contact_with_tensorFlow/1.md)
......
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