{"id":46229,"date":"2023-03-29T07:50:36","date_gmt":"2023-10-25T12:55:32","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46229-2\/"},"modified":"2024-04-29T20:58:14","modified_gmt":"2024-04-29T12:58:14","slug":"46229-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46229-2\/","title":{"rendered":""},"content":{"rendered":"<p>\u7686\u3055\u3093\u3001Jupyter notebook \u306f\u4f7f\u3063\u3066\u307e\u3059\u304b?<br \/>\n\u4eca\u56de\u306f Jupytext \u3068\u3044\u3046 Jupyter notebook \u3092\u7ba1\u7406\u3057\u3084\u3059\u304f\u306a\u308b\u30c4\u30fc\u30eb\u3092\u898b\u3064\u3051\u305f\u306e\u3067\u4f7f\u3063\u3066\u307f\u307e\u3057\u305f\u3002<br \/>\n\u63a7\u3048\u3081\u306b\u8a00\u3063\u3066\u3081\u3063\u3061\u3083\u4fbf\u5229\u306a\u306e\u3067\u306f\uff01\u3068\u3044\u3046\u611f\u3058\u3060\u3063\u305f\u306e\u3067\u3001\u3057\u3070\u3089\u304f\u4f7f\u3063\u3066\u307f\u3088\u3046\u3068\u601d\u3044\u3064\u3064\u3001\u7c21\u5358\u306b\u7d39\u4ecb\u8a18\u4e8b\u3092\u66f8\u304d\u307e\u3057\u305f\u3002<\/p>\n<p>\u307e\u3060\u4f7f\u3044\u59cb\u3081\u306a\u306e\u3067\u3001\u9593\u9055\u3063\u3066\u308b\u3088\uff01\u3068\u304b\u3053\u3046\u3059\u308b\u3068\u3082\u3063\u3068\u4fbf\u5229\uff01\u306a\u3069\u306a\u3069\u3001\u3054\u6307\u6458\u6b53\u8fce\u3067\u3059<\/p>\n<h1>Jupytext \u3068\u306f<\/h1>\n<p>Jupyter notebook \u3092\u3088\u308a\u4fbf\u5229\u306b\u3059\u308b\u30c4\u30fc\u30eb\u3067\u3059\u3002<\/p>\n<p>Jupyter notebook \u306f\u65e2\u306b\u5e83\u304f\u4f7f\u308f\u308c\u3066\u3044\u308b\u30c4\u30fc\u30eb\u3067\u3059\u304c\u3001\u72b6\u614b\u3092\u4fdd\u6301\u3057\u305f\u307e\u307e\u30c8\u30e9\u30a4\u30a2\u30f3\u30c9\u30a8\u30e9\u30fc\u304c\u3057\u3084\u3059\u304f\u4fbf\u5229\u306a\u53cd\u9762\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306b\u8ab2\u984c\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n<ul class=\"post-ul\">\n<li style=\"list-style-type: none;\">\n<ul class=\"post-ul\">Jupyter notebook \u81ea\u4f53\u306f\u4fbf\u5229\u3060\u3051\u3069\u3001\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u3068\u304d\u306fIDE\u306a\u3069\u5225\u306e\u4f7f\u3044\u6163\u308c\u305f\u30a8\u30c7\u30a3\u30bf\u3092\u4f7f\u3044\u305f\u3044<\/ul>\n<\/li>\n<\/ul>\n<p>.ipynb \u306e\u30d5\u30a1\u30a4\u30eb\u306e\u4e2d\u8eab\u306f json \u3067\u5dee\u5206\u304c\u898b\u3065\u3089\u304f\u3001\u30d0\u30fc\u30b8\u30e7\u30f3\u7ba1\u7406\u304c\u96e3\u3057\u3044<\/p>\n<p>.ipynb \u306e\u30d5\u30a1\u30a4\u30eb\u306f (\u30de\u30fc\u30b8\u304c\u96e3\u3057\u3044\u305f\u3081)\u5171\u540c\u7de8\u96c6\u3057\u3065\u3089\u3044<\/p>\n<p>Jupytext \u306f\u3001\u4e0a\u8a18\u306e\u89e3\u6c7a\u3092\u76ee\u6307\u3057\u305f\u30c4\u30fc\u30eb\u3067\u3001\u5177\u4f53\u7684\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n<p>.ipynb \u30d5\u30a1\u30a4\u30eb\u4f5c\u6210\u6642\u3001\u540c\u6642\u306b .py \u30d5\u30a1\u30a4\u30eb\u3082\u4f5c\u6210\u3055\u308c\u308b<br \/>\n\u666e\u6bb5\u4f7f\u3063\u3066\u3044\u308b\u30a8\u30c7\u30a3\u30bf\u3067 .py \u30d5\u30a1\u30a4\u30eb\u3092\u7de8\u96c6\u3059\u308b\u3053\u3068\u3067\u3001.ipynb \u30d5\u30a1\u30a4\u30eb\u306e\u30bb\u30eb\u3092\u4fee\u6b63\u3067\u304d\u308b(\u9006\u3082\u53ef)<\/p>\n<p>.ipynb \u306e\u5dee\u5206\u3092\u901a\u5e38\u306e python \u30b9\u30af\u30ea\u30d7\u30c8\u3068\u3057\u3066\u898b\u3084\u3059\u3044\u5f62\u3067 git \u306b\u53d6\u308a\u8fbc\u3081\u308b<br \/>\n\u3064\u307e\u308a git \u3067\u30de\u30fc\u30b8\u3082\u3057\u3084\u3059\u3044<\/p>\n<p>\u3081\u3063\u3061\u3083\u4fbf\u5229\u305d\u3046\uff01<\/p>\n<p>Jupytext \u306e README \u306b\u3042\u308b\u8868\u3067\u3059\u3002Paired notebook \u304c Jupytext \u306b\u3042\u305f\u308b\u3068\u3053\u308d\u3067\u3001notebook\u4e0a\u3067\u306f\u51fa\u529b\u3084\u72b6\u614b\u3092\u4fdd\u3063\u305f\u307e\u307e\u3001\u30b9\u30af\u30ea\u30d7\u30c8\u306e\u90e8\u5206\u306f .py \u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u7ba1\u7406\u3067\u304d\u307e\u3059\u3002<\/p>\n<div>\n<div class=\"post-table\">FormatExtensionText editor friendlyIDE friendlyGit friendlyPreserve outputsJupyter notebook.ipynb<\/p>\n<p>\u2714Markdown or R Markdown.md\/.Rmd\u2714<br \/>\n\u2714<br \/>\nJulia, Python or R script.jl\/.py\/.R\/&#8230;\u2714\u2714\u2714<br \/>\nPaired notebook(.jl\/.py\/.R\/&#8230;\/.md\/.Rmd) + .ipynb\u2714(\u2714)\u2714\u2714<\/p><\/div>\n<\/div>\n<h1>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb &amp; \u8a2d\u5b9a<\/h1>\n<p>pipenv \u3092\u4f7f\u3063\u3066\u307e\u3059\u304c\u3001\u9069\u5b9c pip \u306b\u8aad\u307f\u66ff\u3048\u3066\u3082\u3089\u3063\u3066\u554f\u984c\u306a\u3044\u306f\u305a\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"nv\">$ <\/span>pipenv <span class=\"nb\">install <\/span>jupyter\r\n<span class=\"nv\">$ <\/span>pipenv <span class=\"nb\">install <\/span>jupytext\r\n<span class=\"c\"># .jupyter\/jupyter_notebook_config.py \u3092\u307e\u3060\u4f5c\u3063\u3066\u3044\u306a\u3044\u5834\u5408\u306f\u4e0b\u8a18\u3092\u5b9f\u884c\u3067\u30d5\u30a1\u30a4\u30eb\u4f5c\u6210<\/span>\r\n<span class=\"nv\">$ <\/span>pipenv run jupyter notebook <span class=\"nt\">--generate-config<\/span>\r\n<span class=\"nv\">$ <\/span>vi ~\/.jupyter\/jupyter_notebook_config.py\r\n<span class=\"c\"># \u4e0b\u8a18\u3092\u30d5\u30a1\u30a4\u30eb\u672b\u5c3e\u306b\u8ffd\u52a0\u3057\u3066 jupyter \u8d77\u52d5<\/span>\r\nc.NotebookApp.contents_manager_class <span class=\"o\">=<\/span> <span class=\"s2\">\"jupytext.TextFileContentsManager\"<\/span>\r\n<span class=\"nv\">$ <\/span>pipenv run jupyter notebook\r\n<span class=\"c\"># \u8d77\u52d5\u3059\u308b\u306e\u3092\u78ba\u8a8d<\/span>\r\n<\/code><\/pre>\n<p>Jupyter Notebook \u304c\u8d77\u52d5\u3057\u305f\u3089\u3001\u9069\u5f53\u306a notebook \u3092\u958b\u304d Edit &gt; Edit Notebook Metadata \u306b &#8220;jupytext&#8221;: {&#8220;formats&#8221;: &#8220;ipynb,py&#8221;}, \u3092\u8ffd\u52a0\u3057\u3001notebook \u3092\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d633937434c4406d01a5e\/15-1.png\" alt=\"jupytext-try_02.png\" \/><\/div>\n<p>.py, .ipynb \u4ee5\u5916\u306b\u3082\u3001md, Rmd, jl, R \u306a\u3069\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u304c\u4f7f\u3048\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n<p>notebook \u3092\u958b\u304f\u305f\u3073\u306b\u3053\u308c\u3092\u7de8\u96c6\u3059\u308b\u306e\u306f\u9762\u5012\u306a\u306e\u3067\u3001 config \u30d5\u30a1\u30a4\u30eb\u306b\u66f8\u3044\u3066\u304a\u304f\u3068\u65b0\u305f\u306b\u4f5c\u6210\u3059\u308b\u30d5\u30a1\u30a4\u30eb\u306b\u306f\u81ea\u52d5\u3067\u4ed8\u52a0\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002(\u65e2\u5b58\u30d5\u30a1\u30a4\u30eb\u306f\u624b\u52d5\u3067\u5165\u308c\u308b\u5fc5\u8981\u304c\u3042\u308b\u3088\u3046\u3067\u3059)<\/p>\n<pre class=\"post-pre\"><code><span class=\"nv\">$ <\/span>vi ~\/.jupyter\/jupyter_notebook_config.py\r\n<span class=\"c\"># \u4e0b\u8a18\u3092\u30d5\u30a1\u30a4\u30eb\u672b\u5c3e\u306b\u8ffd\u52a0\u3057\u3066 jupyter \u8d77\u52d5<\/span>\r\nc.ContentsManager.default_jupytext_formats <span class=\"o\">=<\/span> <span class=\"s2\">\"ipynb,py\"<\/span>\r\n<\/code><\/pre>\n<h1>\u4f7f\u3063\u3066\u307f\u308b<\/h1>\n<p>\u4e0b\u8a18\u306e mnist \u3092 DNN \u3067\u5b66\u7fd2\u3057\u3066\u3044\u308b\u3060\u3051\u306e Jupyter notebook (.ipynb) \u304c\u3042\u3063\u305f\u306e\u3067\u3001\u305d\u308c\u3067\u8a66\u3057\u3066\u307f\u307e\u3059\u3002<br \/>\nhttps:\/\/github.com\/cfiken\/jupytext-try\/blob\/master\/mnist_dnn.ipynb<br \/>\n(\u96d1\u306a\u3082\u306e\u306a\u306e\u3067\u4e2d\u8eab\u306f\u30b9\u30eb\u30fc\u3057\u3066\u304f\u3060\u3055\u3044 )<\/p>\n<p>\u4e0a\u8a18\u3092 Jupyter notebook \u4e0a\u304b\u3089\u958b\u3044\u3066 metadata \u3092\u7de8\u96c6\u3057\u3001\u4e0a\u66f8\u304d\u4fdd\u5b58\u3057\u3066\u30d6\u30e9\u30a6\u30b6\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<br \/>\nJupyter notebook \u306e\u30d5\u30a1\u30a4\u30eb\u4e00\u89a7\u3092\u898b\u308b\u3068\u3001 mnist_dnn.py \u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d633937434c4406d01a5e\/22-0.png\" alt=\"jupytext-try_03.png\" \/><\/div>\n<p>\u3042\u3068\u3067\u5dee\u5206\u3092\u898b\u3084\u3059\u304f\u3059\u308b\u305f\u3081\u306b\u3001\u4e00\u5ea6 mnist_dnn.ipynb mnist_dnn.py \u3092 git commit \u3057\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u4e0a\u3067\u3001\u4e0b\u8a18\u3092\u305d\u308c\u305e\u308c\u8a66\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n<p>.ipynb \u30d5\u30a1\u30a4\u30eb\u5074\u3092 Jupyter notebook \u3067\u7de8\u96c6<br \/>\n\u4f5c\u6210\u3055\u308c\u305f .py \u30d5\u30a1\u30a4\u30eb\u5074\u3092\u9069\u5f53\u306a\u30a8\u30c7\u30a3\u30bf\u3067\u7de8\u96c6<\/p>\n<h2>.ipynb \u30d5\u30a1\u30a4\u30eb\u5074\u3092 Jupyter notebook \u3067\u7de8\u96c6<\/h2>\n<p>Jupyter notebook \u4e0a\u3067 mnist_dnn.ipynb \u3067\u4f7f\u7528\u3057\u3066\u3044\u308b num_units \u3092\u5909\u3048\u3066\u4fdd\u5b58\u3057\u3066\u307f\u307e\u3059\u3002<br \/>\nnum_units = 256 \u3068\u3057\u3066\u3044\u305f\u3068\u3053\u308d\u3092\u3001 num_units = 128 \u306b\u5909\u3048\u3066\u307f\u307e\u3057\u305f\u3002<br \/>\n\u8a72\u5f53\u90e8\u5206\u306e\u5dee\u5206\u306f\u4e0b\u8a18\u3002\u3053\u306e\u304f\u3089\u3044\u306e\u5dee\u5206\u306a\u3089 .ipynb \u3067\u3082\u554f\u984c\u306a\u3044\u3067\u3059\u306d\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"gh\">diff --git a\/mnist_dnn.ipynb b\/mnist_dnn.ipynb\r\nindex 632b464..0336bc2 100644\r\n<\/span><span class=\"gd\">--- a\/mnist_dnn.ipynb\r\n<\/span><span class=\"gi\">+++ b\/mnist_dnn.ipynb\r\n<\/span><span class=\"p\">@@ -67,7 +67,7 @@<\/span>\r\n     \"# constant\\n\",\r\n     \"\\n\",\r\n     \"num_inputs = 784  # 28*28\\n\",\r\n<span class=\"gd\">-    \"num_units = 256\\n\",\r\n<\/span><span class=\"gi\">+    \"num_units = 128\\n\",\r\n<\/span>     \"num_outputs = 10\\n\",\r\n     \"num_layers = 1\\n\",\r\n     \"batch_size = 64\\n\",\r\n<\/code><\/pre>\n<p>\u5168\u4f53\u306e\u5dee\u5206\u3067\u898b\u308b\u3068\u3001\u540c\u6642\u306b mnist_dnn.py \u3082\u81ea\u52d5\u3067\u66f4\u65b0\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u308f\u304b\u308a\u307e\u3059\uff01<\/p>\n<pre class=\"post-pre\"><code><span class=\"gh\">diff --git a\/mnist_dnn.py b\/mnist_dnn.py\r\nindex 6e5d73f..fc1a771 100644\r\n<\/span><span class=\"gd\">--- a\/mnist_dnn.py\r\n<\/span><span class=\"gi\">+++ b\/mnist_dnn.py\r\n<\/span><span class=\"p\">@@ -62,7 +62,7 @@<\/span> test_labels = mnist.test.labels\r\n # constant\r\n\r\n num_inputs = 784  # 28*28\r\n<span class=\"gd\">-num_units = 256\r\n<\/span><span class=\"gi\">+num_units = 128\r\n<\/span> num_outputs = 10\r\n num_layers = 1\r\n batch_size = 64\r\n<\/code><\/pre>\n<h2>\u4f5c\u6210\u3055\u308c\u305f .py \u30d5\u30a1\u30a4\u30eb\u5074\u3092\u9069\u5f53\u306a\u30a8\u30c7\u30a3\u30bf\u3067\u7de8\u96c6<\/h2>\n<p>mnist_dnn.py \u3092\u5225\u306e editor \u3067\u958b\u3044\u3066\u307f\u305f\u3002\u5168\u90e8\u8f09\u305b\u308b\u3068\u9577\u3044\u306e\u3067\u3001\u5148\u7a0b\u4fee\u6b63\u3057\u305f num_units \u4ed8\u8fd1\u307e\u3067\u8f09\u305b\u307e\u3059\u3002<br \/>\n(\u5168\u4f53\u3092\u898b\u305f\u3044\u65b9\u306f github \u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002)<\/p>\n<pre class=\"post-pre\"><code><span class=\"c1\"># -*- coding: utf-8 -*-\r\n# ---\r\n# jupyter:\r\n#   jupytext:\r\n#     formats: ipynb,py:light\r\n#     text_representation:\r\n#       extension: .py\r\n#       format_name: light\r\n#       format_version: '1.3'\r\n#       jupytext_version: 0.8.1\r\n#   kernelspec:\r\n#     display_name: Python 3\r\n#     language: python\r\n#     name: python3\r\n#   language_info:\r\n#     codemirror_mode:\r\n#       name: ipython\r\n#       version: 3\r\n#     file_extension: .py\r\n#     mimetype: text\/x-python\r\n#     name: python\r\n#     nbconvert_exporter: python\r\n#     pygments_lexer: ipython3\r\n#     version: 3.6.5\r\n#   ... \u7701\u7565 ...\r\n# ---\r\n<\/span>\r\n<span class=\"c1\"># + {\"ExecuteTime\": {\"end_time\": \"2018-05-02T03:57:35.459055Z\", \"start_time\": \"2018-05-02T03:57:32.757602Z\"}}\r\n<\/span><span class=\"kn\">import<\/span> <span class=\"nn\">numpy<\/span> <span class=\"k\">as<\/span> <span class=\"n\">np<\/span>\r\n<span class=\"kn\">import<\/span> <span class=\"nn\">tensorflow<\/span> <span class=\"k\">as<\/span> <span class=\"n\">tf<\/span>\r\n<span class=\"kn\">import<\/span> <span class=\"nn\">matplotlib.pyplot<\/span> <span class=\"k\">as<\/span> <span class=\"n\">plt<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">tensorflow.examples.tutorials.mnist<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">input_data<\/span>\r\n\r\n<span class=\"c1\"># + {\"ExecuteTime\": {\"end_time\": \"2018-05-02T03:57:36.012133Z\", \"start_time\": \"2018-05-02T03:57:35.461307Z\"}}\r\n<\/span><span class=\"n\">mnist<\/span> <span class=\"o\">=<\/span> <span class=\"n\">input_data<\/span><span class=\"p\">.<\/span><span class=\"n\">read_data_sets<\/span><span class=\"p\">(<\/span><span class=\"s\">\"data\/\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">one_hot<\/span><span class=\"o\">=<\/span><span class=\"bp\">True<\/span><span class=\"p\">)<\/span>\r\n<span class=\"n\">test_images<\/span> <span class=\"o\">=<\/span> <span class=\"n\">mnist<\/span><span class=\"p\">.<\/span><span class=\"n\">test<\/span><span class=\"p\">.<\/span><span class=\"n\">images<\/span>\r\n<span class=\"n\">test_labels<\/span> <span class=\"o\">=<\/span> <span class=\"n\">mnist<\/span><span class=\"p\">.<\/span><span class=\"n\">test<\/span><span class=\"p\">.<\/span><span class=\"n\">labels<\/span>\r\n\r\n<span class=\"c1\"># + {\"ExecuteTime\": {\"end_time\": \"2018-05-02T03:58:04.194738Z\", \"start_time\": \"2018-05-02T03:58:04.188221Z\"}}\r\n# constant\r\n<\/span>\r\n<span class=\"n\">num_inputs<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">784<\/span>  <span class=\"c1\"># 28*28\r\n<\/span><span class=\"n\">num_units<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">256<\/span>\r\n<span class=\"n\">num_outputs<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">10<\/span>\r\n<span class=\"n\">num_layers<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">1<\/span>\r\n<span class=\"n\">batch_size<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">64<\/span>\r\n<span class=\"n\">learning_rate<\/span> <span class=\"o\">=<\/span> <span class=\"mf\">0.001<\/span>\r\n<span class=\"n\">num_epocs<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">5000<\/span>\r\n<span class=\"n\">step_to_print<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">10<\/span>\r\n<\/code><\/pre>\n<p>\u4e2d\u3092\u898b\u3066\u307f\u308b\u3068\u3001\u6700\u521d\u306b Jupyter notebook \u306e metadata \u304c\u30ba\u30e9\u30c3\u3068\u66f8\u304b\u308c\u305f\u5f8c\u3001\u30bb\u30eb\u3054\u3068\u306b\u6539\u884c\u3067\u533a\u5207\u3089\u308c\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002<br \/>\n# + {&#8220;ExecuteTime&#8221;: &#8230;} \u3068\u3044\u3046\u306e\u306f jupyter \u306e\u62e1\u5f35 (nbextension) \u3067\u5165\u308c\u3066\u3044\u308b\u8a08\u7b97\u6642\u9593\u3092\u8868\u793a\u3059\u308b plugin \u306e\u5f71\u97ff\u3067\u3001\u4f55\u3082\u306a\u3044\u5834\u5408\u306f\u7a7a\u884c\u3060\u3051\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\u4eca\u5ea6\u306f\u3053\u3061\u3089\u306e\u4e2d\u8eab\u3092\u5909\u66f4\u3057\u3066\u307f\u307e\u3059\u3002<br \/>\n\u5148\u7a0b\u5909\u66f4\u3057\u305f num_units = 128 \u306e\u90e8\u5206\u3092\u3001 num_units = 256 \u306b\u623b\u3057\u3066\u4fdd\u5b58\u3057\u307e\u3059\u3002<br \/>\n\u3053\u306e\u307e\u307e Jupyter notebook \u5074\u306b\u623b\u308a\u3001\u5148\u307b\u3069\u958b\u3044\u3066\u3044\u305f mnist_dnn.ipynb \u3092(\u30d6\u30e9\u30a6\u30b6\u3092)\u66f4\u65b0\u3059\u308b\u3068\u3001notebook \u4e0a\u3067\u5185\u5bb9\u304c\u53cd\u6620\u3055\u308c\u307e\u3057\u305f\uff01<br \/>\n\u4fdd\u5b58\u3059\u308b\u3068\u6b21\u306e\u3088\u3046\u306a\u5dee\u5206\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"gh\">diff --git a\/mnist_dnn.ipynb b\/mnist_dnn.ipynb\r\nindex 0336bc2..39f1cd4 100644\r\n<\/span><span class=\"gd\">--- a\/mnist_dnn.ipynb\r\n<\/span><span class=\"gi\">+++ b\/mnist_dnn.ipynb\r\n<\/span><span class=\"p\">@@ -67,7 +67,7 @@<\/span>\r\n     \"# constant\\n\",\r\n     \"\\n\",\r\n     \"num_inputs = 784  # 28*28\\n\",\r\n<span class=\"gd\">-    \"num_units = 128\\n\",\r\n<\/span><span class=\"gi\">+    \"num_units = 256\\n\",\r\n<\/span>     \"num_outputs = 10\\n\",\r\n     \"num_layers = 1\\n\",\r\n     \"batch_size = 64\\n\",\r\n<span class=\"gh\">diff --git a\/mnist_dnn.py b\/mnist_dnn.py\r\nindex fc1a771..6e5d73f 100644\r\n<\/span><span class=\"gd\">--- a\/mnist_dnn.py\r\n<\/span><span class=\"gi\">+++ b\/mnist_dnn.py\r\n<\/span><span class=\"p\">@@ -62,7 +62,7 @@<\/span> test_labels = mnist.test.labels\r\n # constant\r\n\r\n num_inputs = 784  # 28*28\r\n<span class=\"gd\">-num_units = 128\r\n<\/span><span class=\"gi\">+num_units = 256\r\n<\/span> num_outputs = 10\r\n num_layers = 1\r\n batch_size = 64\r\n<\/code><\/pre>\n<p>.py \u30d5\u30a1\u30a4\u30eb\u5074\u306e\u5909\u66f4\u304c\u3001.ipynb \u5074\u306b\u3082\u53cd\u6620\u3055\u308c\u3066\u3044\u307e\u3059\u306d\u3002<\/p>\n<h2>\u5b9f\u884c\u3057\u3066\u307f\u308b<\/h2>\n<p>Jupyter notebook \u4e0a\u3067\u5b9f\u884c\u3057\u3066\u307f\u308b\u3068\u3001.ipynb \u30d5\u30a1\u30a4\u30eb\u5074\u306b\u306f\u51fa\u529b\u90e8\u5206\u3082 json \u3068\u3057\u3066\u4fdd\u5b58\u3055\u308c\u308b\u305f\u3081\u5927\u91cf\u306e\u5dee\u5206\u304c\u51fa\u307e\u3059\u304c\u3001 .py \u30d5\u30a1\u30a4\u30eb\u5074\u306b\u306f\u5dee\u5206\u306f\u4e57\u308a\u307e\u305b\u3093\u3002<br \/>\n\u4eca\u307e\u3067\u5b9f\u884c\u3059\u308b\u305f\u3073\u306b100\u4ee5\u4e0a\u306ediff\u304c\u51fa\u3066\u3044\u305f\u306e\u3067\u3059\u304c\u3001 .py \u30d5\u30a1\u30a4\u30eb\u3060\u3051\u3092\u898b\u308c\u3070\u5dee\u5206\u3082\u30b9\u30c3\u30ad\u30ea\u3057\u307e\u3059\u306d\u3002<\/p>\n<h1>\u307e\u3068\u3081<\/h1>\n<ul class=\"post-ul\">\n<li style=\"list-style-type: none;\">\n<ul class=\"post-ul\">Jupytext \u306f Jupyter notebook \u306e\u30d5\u30a1\u30a4\u30eb (ipynb)\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u90e8\u5206\u3060\u3051\u5225\u306e .py \u30d5\u30a1\u30a4\u30eb\u3067\u7ba1\u7406\u3067\u304d\u308b<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul class=\"post-ul\">\u3069\u3061\u3089\u3067\u3082\u66f4\u65b0\u3067\u304d\u3066\u3001 .py \u3060\u3051\u898b\u308c\u3070\u5dee\u5206\u3082\u30b9\u30c3\u30ad\u30ea<\/ul>\n<p>\u30d5\u30a1\u30a4\u30eb\u6570\u304c\u5897\u3048\u308b\u4ee5\u5916\u306f\u305d\u3093\u306a\u306b\u30c7\u30e1\u30ea\u30c3\u30c8\u304c\u306a\u3044\u306e\u3067\u3001\u3068\u308a\u3042\u3048\u305a\u5165\u308c\u3066\u304a\u3044\u3066\u3082\u826f\u3055\u305d\u3046\u306a\u611f\u3058\u3067\u3059\u3002\u3044\u3064\u304b\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u623b\u3057\u305f\u3044\u6642\u306b\u5f79\u306b\u7acb\u3064\u304b\u3082&#8230;!<br \/>\n\u307e\u305f\u4f7f\u3063\u3066\u307f\u3066\u4f55\u304b\u3042\u308c\u3070\u66f8\u3044\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7686\u3055\u3093\u3001Jupyter notebook \u306f\u4f7f\u3063\u3066\u307e\u3059\u304b? \u4eca\u56de\u306f Jupytext \u3068\u3044\u3046 Jupyter  [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46229","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>- Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/46229-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u7686\u3055\u3093\u3001Jupyter notebook \u306f\u4f7f\u3063\u3066\u307e\u3059\u304b? \u4eca\u56de\u306f Jupytext \u3068\u3044\u3046 Jupyter [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46229-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-25T12:55:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-29T12:58:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d633937434c4406d01a5e\/15-1.png\" \/>\n<meta name=\"author\" content=\"\u6e05, \u626c\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u6e05, \u626c\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 \u5206\" \/>\n<script type=\"application\/ld+json\" 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