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tranlate /tutorials/eager/custom_training.ipynb in simple-chinese #869

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TensorFlow-Docs-Copybara merged 12 commits into tensorflow:master from chuyan0421:master

Aug 12, 2019

Contributor

chuyan0421 commented Jul 26, 2019

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          tranlate /tutorials/eager/custom_training.ipynb in simple-chinese

ef2c2f4

chuyan0421 requested review from lamberta and MarkDaoust as code owners

July 26, 2019 03:23

Collaborator

tfdocsbot commented Jul 26, 2019 •

edited by lamberta

Preview and run these notebook edits with Google Colab:

site/zh-cn/beta/tutorials/eager/custom_training.ipynb

Notebook diffs available on ReviewNB.com.

tfdocsbot added translation zh-cn labels

Collaborator

tfdocsbot commented Jul 26, 2019

Reviewers added, please take a look.
@kuri-leo, @JayYip, @yantaozhao, @loveunk, @Wind2esg, @tigerneil, @MofiiTech, @gaoljhy, @Mr-Linus, @flopsySong

When your review is finished, approve the pull request or include "LGTM" in your comment.

googlebot added the cla: yes label

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Mr-Linus left a comment

You need to update the url and move the site/zh-cn/tutorials/eager/custom_training.ipynb to site/zh-cn/beta/eager/custom_training.ipynb

site/zh-cn/tutorials/eager/custom_training.ipynb Outdated

+                  "    <a target=\"_blank\" href=\"https://github.com/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />GitHub浏览源码</a>\n",
+                  "  </td>\n",
+                  "  <td>\n",
+                  "    <a href=\"https://storage.googleapis.com/tensorflow_docs/docs/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" />下载notebook</a>\n",

Contributor

Mr-Linus Jul 27, 2019

从 1 - 65 行，请根据 TF 汉化社区格式标准修改。https://docs.google.com/document/d/1v7kwEhvtbbI4S4gulxLJDDN78gv0ZlDJ0cN92BUPrm0

Contributor Author

chuyan0421 Jul 29, 2019

Already update. Please review. Thanks!

chuyan0421 added 2 commits

July 29, 2019 22:58


          update

6b1801d


          move file

8b3b88e

Mr-Linus suggested changes

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site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                  "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/colab_logo_32px.png\" />在 Google Colab 运行</a>\n",
+                  "  </td>\n",
+                  "  <td>\n",
+                  "    <a target=\"_blank\" href=\"https://github.com/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/GitHub-Mark-32px.png\" />在 Github 上查看源代码</a>\n",

Contributor

Mr-Linus Jul 30, 2019

Suggested change

      
                "    <a target=\"_blank\" href=\"https://github.com/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/GitHub-Mark-32px.png\" />在 Github 上查看源代码</a>\n",
          
                "    <a target=\"_blank\" href=\"https://github.com/tensorflow/docs/blob/master/site/zh-cn/beta/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/GitHub-Mark-32px.png\" />在 Github 上查看源代码</a>\n",

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                  "    <a target=\"_blank\" href=\"https://tensorflow.google.cn/beta/tutorials/eager/custom_training\"><img src=\"https://tensorflow.google.cn/images/tf_logo_32px.png\" />在 Tensorflow.google.cn 上查看</a>\n",
+                  "  </td>\n",
+                  "  <td>\n",
+                  "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/colab_logo_32px.png\" />在 Google Colab 运行</a>\n",

Contributor

Mr-Linus Jul 30, 2019

Suggested change

      
                "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/colab_logo_32px.png\" />在 Google Colab 运行</a>\n",
          
                "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/docs/blob/master/site/zh-cn/beta/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/colab_logo_32px.png\" />在 Google Colab 运行</a>\n",

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                  "    <a target=\"_blank\" href=\"https://github.com/tensorflow/docs/blob/master/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/GitHub-Mark-32px.png\" />在 Github 上查看源代码</a>\n",
+                  "  </td>\n",
+                  "  <td>\n",
+                  "    <a href=\"https://storage.googleapis.com/tensorflow_docs/docs/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/download_logo_32px.png\" />下载此 notebook</a>\n",

Contributor

Mr-Linus Jul 30, 2019

Suggested change

      
                "    <a href=\"https://storage.googleapis.com/tensorflow_docs/docs/site/en/r2/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/download_logo_32px.png\" />下载此 notebook</a>\n",
          
                "    <a href=\"https://storage.googleapis.com/tensorflow_docs/docs/site/zh-cn/beta/tutorials/eager/custom_training.ipynb\"><img src=\"https://tensorflow.google.cn/images/download_logo_32px.png\" />下载此 notebook</a>\n",

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                 "source": [
+                  "## 变量\n",
+                  "\n",
+                  "Tensorflow中的tensor是不可变无状态对象。机器学习模型需要可改变状态，比如模型训练和模型预测的代码是相同的，但变量值随着时间而不同(希望尽量小的loss)。为了应对随着计算而改变的状态，可以利用Python的状态可变性。"

Contributor

Mr-Linus Jul 30, 2019

Suggested change

      
                "Tensorflow中的tensor是不可变无状态对象。机器学习模型需要可改变状态，比如模型训练和模型预测的代码是相同的，但变量值随着时间而不同(希望尽量小的loss)。为了应对随着计算而改变的状态，可以利用Python的状态可变性。"
          
                "Tensorflow 中的 tensor 是不可变无状态对象。机器学习模型需要可改变状态，比如模型训练和模型预测的代码是相同的，但变量值随着时间而不同(希望尽量小的 loss)。为了应对随着计算而改变的状态，可以利用 Python 的状态可变性。"

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                 "source": [
+                  "在之前的教程中，我们讨论了自动差分，一个基本的机器学习模块。在这个教程中，我们将使用在之前介绍的Tensorflow基础语句实现简单的机器学习模型。\n",
+                  "\n",
+                  "Tensorflow也提供了高级神经网络API(`tf.keras`)，可以精简范例代码。我们强烈建议在神经网络方面的工作使用高级的API。在这篇教程中，我们使用基本规则用于神经网络的训练，为以后打下坚实的基础。"

Contributor

Mr-Linus Jul 30, 2019

中英文直接需要有空格，下面的也改下

Contributor Author

chuyan0421 Aug 5, 2019

已按要求修改，请审核


          add space between Chinese and English

92d7046

Mr-Linus suggested changes

View reviewed changes

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                 "source": [
+                  "### 定义损失函数\n",
+                  "\n",
+                  "损失函数用来衡量在给定输入的情况下，模型的预测输出与实际输出的偏差。我们这里使用标准L2损失函数。"

Contributor

Mr-Linus Aug 7, 2019

Suggested change

      
                "损失函数用来衡量在给定输入的情况下，模型的预测输出与实际输出的偏差。我们这里使用标准L2损失函数。"
          
                "损失函数用来衡量在给定输入的情况下，模型的预测输出与实际输出的偏差。我们这里使用标准 L2 损失函数。"

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                 "source": [
+                  "### 定义训练循环\n",
+                  "\n",
+                  "我们现在有了网络模型和训练数据。现在来训练模型，即，基于[梯度下降](https://en.wikipedia.org/wiki/Gradient_descent)使用训练数据来更新模型的变量（`W` 和 `b`）使得损失量变小。梯度下降方案中有很多参数，通过`tf.train.Optimizer`实现。我们强烈建议使用这些实现方式，但基于通过基本规则创建模型的精神，在这个特别示例中，我们自己实现基本的数学运算。"

Contributor

Mr-Linus Aug 7, 2019

改句建议再次斟酌，逻辑存在些许问题

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                  "id": "RwWPaJryD2aN"
+                 },
+                 "source": [
+                  "最后，我们对训练数据重复地运行，观察`W` 和 `b`是怎么变化的。"

Contributor

Mr-Linus Aug 7, 2019

Suggested change

      
                "最后，我们对训练数据重复地运行，观察`W` 和 `b`是怎么变化的。"
          
                "最后，我们对训练数据重复地运行，观察 `W` 和 `b` 是怎么变化的。"

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                 "source": [
+                  "## 下一步\n",
+                  "\n",
+                  "在这个教程中，我们讨论了`Variable`，而且创建和训练了一个简单的线性模型，使用了在此之前所学习的 TensorFlow 知识点。\n",

Contributor

Mr-Linus Aug 7, 2019

Suggested change

      
                "在这个教程中，我们讨论了`Variable`，而且创建和训练了一个简单的线性模型，使用了在此之前所学习的 TensorFlow 知识点。\n",
          
                "在这个教程中，我们讨论了 `Variable`，而且创建和训练了一个简单的线性模型，使用了在此之前所学习的 TensorFlow 知识点。\n",

site/zh-cn/beta/eager/custom_training.ipynb Outdated

+                  "\n",
+                  "在这个教程中，我们讨论了`Variable`，而且创建和训练了一个简单的线性模型，使用了在此之前所学习的 TensorFlow 知识点。\n",
+                  "\n",
+                  "理论而言，用在机器学习研究上，跟 TensorFlow 相关的内容差不多就这些。实际上，特别是神经网络，高级的 API 比如`tf.keras`是更方便的，因为它提供了更高级别的内建模块（命名为\"layers\"），可以保存和恢复状态，成套的损失函数和优化策略等。\n"

Contributor

Mr-Linus Aug 7, 2019

Suggested change

      
                "理论而言，用在机器学习研究上，跟 TensorFlow 相关的内容差不多就这些。实际上，特别是神经网络，高级的 API 比如`tf.keras`是更方便的，因为它提供了更高级别的内建模块（命名为\"layers\"），可以保存和恢复状态，成套的损失函数和优化策略等。\n"
          
                "理论而言，用在机器学习研究上，跟 TensorFlow 相关的内容差不多就这些。实际上，特别是神经网络，高级的 API 比如 `tf.keras` 是更方便的，因为它提供了更高级别的内建模块（命名为\"layers\"），可以保存和恢复状态，成套的损失函数和优化策略等。\n"

chuyan0421 added 5 commits

August 8, 2019 23:59


          update

854d52c


          commit

2990dde


          update

f662f04


          update

35cc7fd


          update

b9e799a

Mr-Linus approved these changes

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Mr-Linus left a comment

LGTM
👍

tfdocsbot added kokoro:force-run lgtm labels

lamberta removed the kokoro:force-run label

lamberta added 2 commits

August 12, 2019 11:09


          Move to tutorials/

06f0048


          title and formatting

decac72

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lamberta left a comment

Thanks!

lamberta added ready to pull and removed ready to pull labels


          fix typo

lamberta added the ready to pull label

TensorFlow-Docs-Copybara merged commit 2431640 into tensorflow:master

TensorFlow-Docs-Copybara pushed a commit that referenced this pull request


          Merge pull request #869 from chuyan0421:master

baf15f2

PiperOrigin-RevId: 262974655

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