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TensorFlow 机器学习秘籍中文第二版(初稿)

2019-09-25 10:13 作者:绝不原创的飞龙  | 我要投稿
  • TensorFlow 入门(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/0.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/1.md)

  • TensorFlow 如何工作(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/2.md)

  • 声明变量和张量(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/3.md)

  • 使用占位符和变量(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/4.md)

  • 使用矩阵(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/5.md)

  • 声明操作符(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/6.md)

  • 实现激活函数(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/7.md)

  • 使用数据源(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/8.md)

  • 其他资源(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/9.md)

  • TensorFlow 的方式(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/10.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/11.md)

  • 计算图中的操作(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/12.md)

  • 对嵌套操作分层(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/13.md)

  • 使用多个层(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/14.md)

  • 实现损失函数(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/15.md)

  • 实现反向传播(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/16.md)

  • 使用批量和随机训练(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/17.md)

  • 把所有东西结合在一起(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/18.md)

  • 评估模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/19.md)

  • 线性回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/20.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/21.md)

  • 使用矩阵逆方法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/22.md)

  • 实现分解方法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/23.md)

  • 学习 TensorFlow 线性回归方法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/24.md)

  • 理解线性回归中的损失函数(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/25.md)

  • 实现 deming 回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/26.md)

  • 实现套索和岭回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/27.md)

  • 实现弹性网络回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/28.md)

  • 实现逻辑回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/29.md)

  • 支持向量机(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/30.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/31.md)

  • 使用线性 SVM(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/32.md)

  • 简化为线性回归(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/33.md)

  • 在 TensorFlow 中使用内核(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/34.md)

  • 实现非线性 SVM(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/35.md)

  • 实现多类 SVM(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/36.md)

  • 最近邻方法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/37.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/38.md)

  • 使用最近邻(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/39.md)

  • 使用基于文本的距离(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/40.md)

  • 使用混合距离函数的计算(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/41.md)

  • 使用地址匹配的示例(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/42.md)

  • 使用最近邻进行图像识别(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/43.md)

  • 神经网络(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/44.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/45.md)

  • 实现操作门(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/46.md)

  • 使用门和激活函数(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/47.md)

  • 实现单层神经网络(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/48.md)

  • 实现不同的层(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/49.md)

  • 使用多层神经网络(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/50.md)

  • 改进线性模型的预测(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/51.md)

  • 学习玩井字棋(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/52.md)

  • 自然语言处理(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/53.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/54.md)

  • 使用词袋嵌入(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/55.md)

  • 实现 TF-IDF(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/56.md)

  • 使用 Skip-Gram 嵌入(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/57.md)

  • 使用 CBOW 嵌入(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/58.md)

  • 使用 word2vec 进行预测(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/59.md)

  • 使用 doc2vec 进行情绪分析(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/60.md)

  • 卷积神经网络(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/61.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/62.md)

  • 实现简单的 CNN(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/63.md)

  • 实现先进的 CNN(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/64.md)

  • 重新训练现有的 CNN 模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/65.md)

  • 应用 StyleNet 和 NeuralStyle 项目(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/66.md)

  • 实现 DeepDream(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/67.md)

  • 循环神经网络(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/68.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/69.md)

  • 为垃圾邮件预测实现 RNN(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/70.md)

  • 实现 LSTM 模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/71.md)

  • 堆叠多个 LSTM 层(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/72.md)

  • 创建序列到序列模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/73.md)

  • 训练 Siamese RNN 相似性度量(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/74.md)

  • 将 TensorFlow 投入生产(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/75.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/76.md)

  • 实现单元测试(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/77.md)

  • 使用多个执行程序(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/78.md)

  • 并行化 TensorFlow(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/79.md)

  • 将 TensorFlow 投入生产(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/80.md)

  • 生产环境 TensorFlow 的一个例子(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/81.md)

  • 使用 TensorFlow 服务(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/82.md)

  • 更多 TensorFlow(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/83.md)

  • 介绍(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/84.md)

  • 可视化 TensorBoard 中的图(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/85.md)

  • 使用遗传算法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/86.md)

  • 使用 k 均值聚类(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/87.md)

  • 求解常微分方程组(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/88.md)

  • 使用随机森林(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/89.md)

  • 使用 TensorFlow 和 Keras(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/tf-ml-cookbook-2e-zh/90.md)


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