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      "author": "steemitboard",
      "body": "Congratulations @weichencoder! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@weichencoder/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@weichencoder) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=weichencoder)_</sub>\n\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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      "body": "## 第一部分：如何实现可视化\n\n第一种：利用 plot_model 导出模型结构图\n\n```keras.utils.vis_utils```模块提供了画出Keras模型的函数，依赖于graphviz。\n\n该函数将已经设计好的模型画成结构图，并保存成图片：\n\n```\nfrom keras.utils import plot_model\nplot_model(model, to_file='model.png')\n```\n![导出的模型图](http://upload-images.jianshu.io/upload_images/2392578-0442734c71248e9f.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)\n\n```plot_model```接收两个可选参数：\n```show_shapes```：指定是否显示输出数据的形状，默认为```False```\n```show_layer_names```:指定是否显示层名称,默认为```True```\n\n第二种：在ipython直接展示模型结构图\n我们也可以直接获取一个```pydot.Graph```对象，然后按照自己的需要配置它，例如，如果要在ipython中展示图片\n\n```\nfrom IPython.display import SVG\nfrom keras.utils.vis_utils import model_to_dot\nSVG(model_to_dot(model).create(prog='dot', format='svg'))\n```\n如下图所示：\n\n![在ipython直接展示的模型结构图](http://upload-images.jianshu.io/upload_images/2392578-9791567ea69f6965.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)\n\n\n## 如何处理错误\n由于上述代码依赖 pydot 和 graphviz，未安装就会出现错误。\n\n1. 安装 graphviz\n第一步：获取权限\n```\nsudo chown -R `whoami`:admin /usr/local/bin\nsudo chown -R `whoami`:admin /usr/local/share\n```\n第二步：安装\n```\nbrew install graphviz\nbrew link --overwrite graphviz\n```\n\n2. 安装pydot\n```\npip install pydot\n```\n\n## 完成第二部分的“如何处理错误”，是不是第一部分的代码就不报错了？\n\n完成！撒花🎉\n\n参考文章：https://keras-cn.readthedocs.io/en/latest/other/visualization/https://keras-cn.readthedocs.io/en/latest/other/visualization/\n\nhttp://blog.csdn.net/qq_36477562/article/details/79324577\n\nhttps://stackoverflow.com/questions/26647412/homebrew-could-not-symlink-usr-local-bin-is-not-writable",
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      "title": "macOS下实现Keras模型的可视化及错误处理"
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      "author": "weichencoder",
      "body": "## 引言\nMatplotlib是Python的一个不错的绘图框架，但是本身并不支持中文（默认配置中没有中文字体），所以如果绘图中出现了中文，会出现乱码。如图所示：\n![效果图0](https://upload-images.jianshu.io/upload_images/2392578-f7c97d6a4276dbc6.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/662)\n\n下面我们就来看看，如何愉快地解决它吧！\n\n本人环境：macOS/Python2.7&3.6 亲测可用\n## 方法一：一劳永逸的方法（当然只是在你的机器上，无法迁移到别人机器）\n\n1. 下载你想要的字体（这里以SimHei.ttf字体为例）\n\nhttp://www.fontpalace.com/font-details/SimHei/\n\n2. 查看matplotlib的字体存放目录与查找matplotlibrc文件路径\n\n运行如下代码：\n```\nimport matplotlib\nmatplotlib.matplotlib_fname()\n```\n得到一个matplotlib的matplotlibrc文件路径，我的是：\n```\n/Users/David/anaconda3/envs/py27/lib/python2.7/site-packages/matplotlib/mpl-data/matplotlibrc\n```\n字体目录就在与matplotlibrc文件同级的font/ttf目录中。也就是 .../matplotlib/mpl-data/fonts/ttf中，我的字体存放目录的完整路径如下\n```\n/Users/David/anaconda3/envs/py27/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf\n```\n请将下载好的字体，放入这个文件夹。\n\n3. 命令行运行如下两个命令，将matplotlib的字体缓存删除\n```\ncd ~/.matplotlib/\nrm -rf fontList.py3k.cache\n```\n4.修改 matplotlibrc文件设置\n\n找到下面呆着#注释的两行：\n```\n#font.family\n#font.sans-serif\n```\n先将这两行前面的#去掉。再在第二行font.sans-serif的等号后面添加一项：SimHei。\n\n5.在你的业务代码配置下载字体\n```\nplt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签\nplt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号\n```\n6. 成功显示中文\n![效果图1](http://upload-images.jianshu.io/upload_images/2392578-b6a642cc8b335182.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)\n\n7. 如果还不成功。请重启Python、电脑，我就是重启之后生效的！\n\n\n## 方法二：针对业务代码，进行一些调整，费事，但是可迁移\n在你的业务代码签名添加如下代码。你看其实这里可以很方便地调整字体大小的。size=15\n```\nfrom matplotlib.font_manager import FontProperties\ndef getChineseFont():  \n    return FontProperties(fname='/System/Library/Fonts/PingFang.ttc',size=15)  \n```\n然后，针对plt的xlabel、ylabel、title等代码，添加如下属性。对，就是fontproperties=getChineseFont()。对于，legend，则需要添加prop=getChineseFont()\n```\nplt.title(u'乘客等级分布', fontproperties=getChineseFont()) #每一行都要添加，是不是很麻烦？\nplt.ylabel(u'人数', fontproperties=getChineseFont())\nplt.legend((u'头等舱',u'二等舱',u'三等舱',),loc='best',prop=getChineseFont())\n```\n效果如下：\n![效果图2](http://upload-images.jianshu.io/upload_images/2392578-cc1ec0509fe62726.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)\n\n\n好啦，写完啦，撒花🎉",
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