TensorFlow 机器学习秘籍中文第二版（初稿）

雨点打透心脏的1/2处 2024-04-19 11:53 44阅读 0赞

*  [TensorFlow 入门][TensorFlow]
    
     *  [介绍][Link 1]
     *  [TensorFlow 如何工作][TensorFlow 1]
     *  [声明变量和张量][Link 2]
     *  [使用占位符和变量][Link 3]
     *  [使用矩阵][Link 4]
     *  [声明操作符][Link 5]
     *  [实现激活函数][Link 6]
     *  [使用数据源][Link 7]
     *  [其他资源][Link 8]
 *  [TensorFlow 的方式][TensorFlow 2]
    
     *  [介绍][Link 9]
     *  [计算图中的操作][Link 10]
     *  [对嵌套操作分层][Link 11]
     *  [使用多个层][Link 12]
     *  [实现损失函数][Link 13]
     *  [实现反向传播][Link 14]
     *  [使用批量和随机训练][Link 15]
     *  [把所有东西结合在一起][Link 16]
     *  [评估模型][Link 17]
 *  [线性回归][Link 18]
    
     *  [介绍][Link 19]
     *  [使用矩阵逆方法][Link 20]
     *  [实现分解方法][Link 21]
     *  [学习 TensorFlow 线性回归方法][TensorFlow 3]
     *  [理解线性回归中的损失函数][Link 22]
     *  [实现 deming 回归][deming]
     *  [实现套索和岭回归][Link 23]
     *  [实现弹性网络回归][Link 24]
     *  [实现逻辑回归][Link 25]
 *  [支持向量机][Link 26]
    
     *  [介绍][Link 27]
     *  [使用线性 SVM][SVM]
     *  [简化为线性回归][Link 28]
     *  [在 TensorFlow 中使用内核][TensorFlow 4]
     *  [实现非线性 SVM][SVM 1]
     *  [实现多类 SVM][SVM 2]
 *  [最近邻方法][Link 29]
    
     *  [介绍][Link 30]
     *  [使用最近邻][Link 31]
     *  [使用基于文本的距离][Link 32]
     *  [使用混合距离函数的计算][Link 33]
     *  [使用地址匹配的示例][Link 34]
     *  [使用最近邻进行图像识别][Link 35]
 *  [神经网络][Link 36]
    
     *  [介绍][Link 37]
     *  [实现操作门][Link 38]
     *  [使用门和激活函数][Link 39]
     *  [实现单层神经网络][Link 40]
     *  [实现不同的层][Link 41]
     *  [使用多层神经网络][Link 42]
     *  [改进线性模型的预测][Link 43]
     *  [学习玩井字棋][Link 44]
 *  [自然语言处理][Link 45]
    
     *  [介绍][Link 46]
     *  [使用词袋嵌入][Link 47]
     *  [实现 TF-IDF][TF-IDF]
     *  [使用 Skip-Gram 嵌入][Skip-Gram]
     *  [使用 CBOW 嵌入][CBOW]
     *  [使用 word2vec 进行预测][word2vec]
     *  [使用 doc2vec 进行情绪分析][doc2vec]
 *  [卷积神经网络][Link 48]
    
     *  [介绍][Link 49]
     *  [实现简单的 CNN][CNN]
     *  [实现先进的 CNN][CNN 1]
     *  [重新训练现有的 CNN 模型][CNN 2]
     *  [应用 StyleNet 和 NeuralStyle 项目][StyleNet _ NeuralStyle]
     *  [实现 DeepDream][DeepDream]
 *  [循环神经网络][Link 50]
    
     *  [介绍][Link 51]
     *  [为垃圾邮件预测实现 RNN][RNN]
     *  [实现 LSTM 模型][LSTM]
     *  [堆叠多个 LSTM 层][LSTM 1]
     *  [创建序列到序列模型][Link 52]
     *  [训练 Siamese RNN 相似性度量][Siamese RNN]
 *  [将 TensorFlow 投入生产][TensorFlow 5]
    
     *  [介绍][Link 53]
     *  [实现单元测试][Link 54]
     *  [使用多个执行程序][Link 55]
     *  [并行化 TensorFlow][TensorFlow 6]
     *  [将 TensorFlow 投入生产][TensorFlow 7]
     *  [生产环境 TensorFlow 的一个例子][TensorFlow 8]
     *  [使用 TensorFlow 服务][TensorFlow 9]
 *  [更多 TensorFlow][TensorFlow 10]
    
     *  [介绍][Link 56]
     *  [可视化 TensorBoard 中的图][TensorBoard]
     *  [使用遗传算法][Link 57]
     *  [使用 k 均值聚类][k]
     *  [求解常微分方程组][Link 58]
     *  [使用随机森林][Link 59]
     *  [使用 TensorFlow 和 Keras][TensorFlow _ Keras]

[TensorFlow]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/0.md
[Link 1]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/1.md
[TensorFlow 1]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/2.md
[Link 2]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/3.md
[Link 3]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/4.md
[Link 4]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/5.md
[Link 5]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/6.md
[Link 6]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/7.md
[Link 7]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/8.md
[Link 8]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/9.md
[TensorFlow 2]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/10.md
[Link 9]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/11.md
[Link 10]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/12.md
[Link 11]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/13.md
[Link 12]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/14.md
[Link 13]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/15.md
[Link 14]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/16.md
[Link 15]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/17.md
[Link 16]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/18.md
[Link 17]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/19.md
[Link 18]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/20.md
[Link 19]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/21.md
[Link 20]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/22.md
[Link 21]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/23.md
[TensorFlow 3]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/24.md
[Link 22]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/25.md
[deming]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/26.md
[Link 23]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/27.md
[Link 24]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/28.md
[Link 25]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/29.md
[Link 26]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/30.md
[Link 27]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/31.md
[SVM]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/32.md
[Link 28]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/33.md
[TensorFlow 4]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/34.md
[SVM 1]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/35.md
[SVM 2]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/36.md
[Link 29]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/37.md
[Link 30]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/38.md
[Link 31]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/39.md
[Link 32]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/40.md
[Link 33]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/41.md
[Link 34]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/42.md
[Link 35]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/43.md
[Link 36]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/44.md
[Link 37]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/45.md
[Link 38]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/46.md
[Link 39]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/47.md
[Link 40]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/48.md
[Link 41]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/49.md
[Link 42]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/50.md
[Link 43]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/51.md
[Link 44]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/52.md
[Link 45]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/53.md
[Link 46]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/54.md
[Link 47]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/55.md
[TF-IDF]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/56.md
[Skip-Gram]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/57.md
[CBOW]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/58.md
[word2vec]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/59.md
[doc2vec]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/60.md
[Link 48]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/61.md
[Link 49]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/62.md
[CNN]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/63.md
[CNN 1]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/64.md
[CNN 2]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/65.md
[StyleNet _ NeuralStyle]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/66.md
[DeepDream]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/67.md
[Link 50]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/68.md
[Link 51]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/69.md
[RNN]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/70.md
[LSTM]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/71.md
[LSTM 1]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/72.md
[Link 52]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/73.md
[Siamese RNN]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/74.md
[TensorFlow 5]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/75.md
[Link 53]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/76.md
[Link 54]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/77.md
[Link 55]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/78.md
[TensorFlow 6]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/79.md
[TensorFlow 7]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/80.md
[TensorFlow 8]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/81.md
[TensorFlow 9]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/82.md
[TensorFlow 10]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/83.md
[Link 56]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/84.md
[TensorBoard]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/85.md
[Link 57]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/86.md
[k]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/87.md
[Link 58]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/88.md
[Link 59]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/89.md
[TensorFlow _ Keras]: https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/90.md