🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 16 (from laksa068)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa016.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://time.geekbang.org/course/intro/100023001\')), getAhrefsUnparsedNoserviceFromURL(\'https://time.geekbang.org/course/intro/100023001\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/time.geekbang.org\/course\/intro\/100023001","crawl_time":1774558810,"first_indexed_time":1570428927,"http_code":200,"src_unparsed":"org,geekbang!time,\/course\/intro\/100023001 s443","src_root_hash":"14081775683589953416","history_drop_reason":null,"meta_title":"TensorFlow 快速入门与实战","meta_descriptions":["极客时间推出的TensorFlow快速入门与实战是帮助互联网从业者学习TensorFlow、深度学习的在线课程，极客时间是面向IT领域的知识服务产品，致力于帮助用户轻松学习，高效学习。"],"attrs_boilerpipe_text":"深度学习是近年来人工智能领域最火的一项技术。在众多的深度学习框架中，TensorFlow 凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。\n目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。\n掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。\n而 TensorFlow 的初学者经常会遇到以下问题：\n网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。\nTensorFlow 使用了大量的抽象概念来描述算法模型及其计算过程，譬如张量、操作、占位符、数据流图、会话等。初学者往往难以理解，如果没有详细的指导和点拨，学习起来困难重重。\n由于初学者对 TensorFlow 的模块和架构设计缺乏整体认知，就无法根据自身需求快速学习和应用，容易胡子眉毛一把抓，皱着眉头钻研半天也抓不住重点。\n因此，极客时间联合 Google Developers Expert 彭靖田联合推出《TensorFlow 快速入门与实战》这门课程，课程以 TensorFlow 1.12 版本为基础，从 TensorFlow 的发展历程、核心概念开始讲起，并通过四个由浅到深的实战项目练习\n（提供全部源代码）\n，帮你快速上手 TensorFlow，并能将所学知识应用到工作中，用 AI 为业务赋能。","attrs_markdown":"[课程 ](https:\/\/time.geekbang.org\/resource)\n\n[训练营 ](https:\/\/u.geekbang.org\/?utm_source=time_web&utm_medium=menu&utm_term=timewebmenu)\n\n[认证 ![](https:\/\/static001.geekbang.org\/static\/time\/img\/geek_elements\/hot2.png)](https:\/\/u.geekbang.org\/certificate?utm_source=time_web&utm_medium=menu&utm_term=timewebmenu)\n\n[![](https:\/\/static001.geekbang.org\/resource\/image\/a9\/9d\/a9bde6bcd01611c717fed16f3f18959d.png)](https:\/\/time.geekbang.org\/hybrid\/next\/svip\/home)\n\n[部落](https:\/\/horde.geekbang.org\/home)\n\n[资讯 ![](https:\/\/static001.geekbang.org\/resource\/image\/4d\/ab\/4de6505b1852d0359f2f1bb9127ef9ab.png)](https:\/\/www.infoq.cn\/)\n\n[企业版](https:\/\/b.geekbang.org\/?utm_source=geektimeweb&utm_medium=menu&utm_campaign=entranceplatform&gk_source=2021090101_geektimeweb_menu)\n\n搜索\n\n[![Download](https:\/\/static001.geekbang.org\/resource\/image\/2f\/66\/2f6b3d4f5d0121599a6c2a440e8d6066.png) App](https:\/\/time.geekbang.org\/download)[![DownloadExtensions](https:\/\/static001.geekbang.org\/resource\/image\/80\/a4\/8065a33cb1aa716dbd48f034b4b934a4.png) 插件](https:\/\/time.geekbang.org\/download\/extensions)\n\n[登录]() [注册]()\n\nTensorFlow 快速入门与实战\n\n10 小时掌握当前流行的深度学习框架\n\n彭靖田 Google Developers Expert，《深入理解 TensorFlow》作者\n\n视频课\n\n已完结·共 67 讲\n\n\\|\n\n3\\.1w 人已学\n\n\\|\n\n收藏\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/a7\/66\/a784edaa5b541923d18e7e487886d366.png?x-oss-process=image\/resize,w_334,h_334\/format,webp)\n\n到手价\n\n59\n\n129\n\n新人学习立返 50% 购课币\n\n\n\n单课购买\n\n59\n\n[课程介绍](https:\/\/time.geekbang.org\/course\/intro\/100023001\/intro)\n\n[课程目录试看](https:\/\/time.geekbang.org\/course\/intro\/100023001\/catalog)\n\n[课程评价(17)](https:\/\/time.geekbang.org\/course\/intro\/100023001\/comment)\n\n单课购买\n\n59\n\n## 限时福利\n[![](https:\/\/static001.geekbang.org\/resource\/image\/2e\/ca\/2e8f4403f09c11d5ffee0cf800cb32ca.jpg)](https:\/\/time.geekbang.org\/column\/article\/641701)\n\n## 你将获得\n1. 快速掌握 TensorFlow 核心概念和架构；\n2. 熟练进行模型结构设计、训练及测试；\n3. 参数调优及损失函数设计的基本方法；\n4. 四个典型的 TensorFlow 应用场景实战**（提供全部源代码）**；\n5. 懂得如何更好地为 TensorFlow 社区做贡献。\n\n## 课程介绍\n深度学习是近年来人工智能领域最火的一项技术。在众多的深度学习框架中，TensorFlow 凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。\n\n目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。\n\n掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。\n\n而 TensorFlow 的初学者经常会遇到以下问题：\n\n1. 网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。\n2. TensorFlow 使用了大量的抽象概念来描述算法模型及其计算过程，譬如张量、操作、占位符、数据流图、会话等。初学者往往难以理解，如果没有详细的指导和点拨，学习起来困难重重。\n3. 由于初学者对 TensorFlow 的模块和架构设计缺乏整体认知，就无法根据自身需求快速学习和应用，容易胡子眉毛一把抓，皱着眉头钻研半天也抓不住重点。\n\n因此，极客时间联合 Google Developers Expert 彭靖田联合推出《TensorFlow 快速入门与实战》这门课程，课程以 TensorFlow 1.12 版本为基础，从 TensorFlow 的发展历程、核心概念开始讲起，并通过四个由浅到深的实战项目练习**（提供全部源代码）**，帮你快速上手 TensorFlow，并能将所学知识应用到工作中，用 AI 为业务赋能。\n\n## 课程目录\n![](https:\/\/static001.geekbang.org\/resource\/image\/84\/c2\/849ba1dd9226d4a0065effcb6af887c2.jpg)\n\n查看更多\n\n免费试读\n\n## 特别放送\n#### 免费领取福利\n[![](https:\/\/static001.geekbang.org\/resource\/image\/5e\/8e\/5eac62368caaff2f0fc491cf695c778e.jpg?wh=1035x360)](https:\/\/time.geekbang.org\/serv\/v4\/misc\/jump?uri=https%3A%2F%2Ftime.geekbang.org%2Fhybrid%2Fmp%2Fjump%3Furl%3Dhttps%253A%252F%252Fstatic001.geekbang.org%252Fresource%252Fimage%252F04%252Ff1%252F04e38f82616f9a025eb39bbe79d2b7f1.png)\n\n## 订阅须知\n1. 订阅成功后，推荐通过“极客时间”App 端、Web 端学习。\n2. 本专栏为虚拟商品，交付形式为图文 + 音频，一经订阅，概不退款。\n3. 订阅后分享海报，每邀一位好友订阅有现金返现。\n4. 戳此[先充值再购课更划算](https:\/\/shop18793264.m.youzan.com\/wscgoods\/detail\/366k8bbsnpjzcdp?dc_ps=3288312595060320259.200001)，还有最新课表、超值赠品福利等。\n5. 企业采购推荐使用“[极客时间企业版](https:\/\/b.geekbang.org\/?utm_source=geektime&utm_medium=columnintro&utm_campaign=newregister&gk_source=2021020901_gkcolumnintro_newregister)”便捷安排员工学习计划，掌握团队学习仪表盘。\n6. 戳此[申请学生认证](https:\/\/time.geekbang.com\/activity\/promo?page_name=page_3471768093)，订阅课程享受原价 5 折优惠。\n7. 价格说明：划线价、订阅价为商品或服务的参考价，并非原价，该价格仅供参考。未划线价格为商品或服务的实时标价，具体成交价格根据商品或服务参加优惠活动，或使用优惠券、礼券、赠币等不同情形发生变化，最终实际成交价格以订单结算页价格为准。\n\n讲师\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/e0\/3d\/e0be84fbf50f2285cf35712463ca2e3d.jpg?x-oss-process=image\/resize,w_50,h_50\/format,webp)\n\n### 彭靖田\n### Google Developers Expert，《深入理解 TensorFlow》作者\n\n彭靖田，Google Developers Expert，加州大学圣迭戈分校访问学者，在美国期间从事深度学习与生物医疗技术的结合研究。毕业于浙江大学竺可桢学院，获计算机科学学士学位。 开源项目 Kubeflow 维护者，TensorFlow 贡献者，曾一度成为 Tensor...查看更多\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/f7\/eb\/f726e156d746381273bf70684c9fd8eb.jpg)\n\n编辑推荐\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/86\/73\/866ef165163dbceb12903b2596741273.jpg)\n\n讲师的其他课程\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/ae\/73\/ae16ed4246e642a00269aa5612b95b73.jpg)\n\n[TensorFlow 2 项目进阶实战](\"TensorFlow 2 项目进阶实战\")\n\n彭靖田\n\nGoogle Developer Expert、《TensorFlow 快速入门与实战》作者\n\n56讲 \\| 7373 人已学习\n\n![](data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFwAAAAgCAYAAACfDx\/iAAAAAXNSR0IArs4c6QAACVVJREFUaEPtmnuQHEUdx7\/fnp3ZXEJeQHI7m5RJhYdoIBikQkQQRQql5FGCPKoAUUpAKUgQcjtJtKhTkLvZIwkFvsBSUMQqNIUCKljy8FUkQGkdiZiAAoHK7WwghCSYe2zPzM\/qvdvN3uV2dy6JFmVd\/3FXO\/3rX3d\/5je\/X\/evmxgq0g4nnpS9Oo7jSwHOF2BypW78\/9gJEHgXkBeVUg+oPYV72I6S0ULzR1YfNktr59cAPjR21eMtEhDotu3S2bzx7R4ay9Yt7rNDsF9SCiusWD9Bb\/u7CRSNi9QhIP7hkyNlnxHH6ADwfgDddl9wEqOu7HVRLHcBeMl2+hbzqzt3jlM8eARkzbRputSy3kC3FK+n9jPrBFysFM5PtQW\/PHhdjWuqEAi73M\/GMR4iZD217+42AdKGnjLuRv47RmLci4a92wRSlnxXTDeOF5QDaKMiXa2T2LZtTzO592q9CEiiPN+DUaQdiu2Ik+iqcE4E3CjWE931EJxgWziCy4LXG3Xy7m2ZGY7FMylyut3ffxPbm8cFaUdKt2Q3AbLN8YJTkkyiVkYAhr57iwAXDaj4lMlt294cVt+RmVsinlEK99u5opdEf5jPXBgLlwtwWdoLNtW2GejMzFfk0yB+aOeCFc30JQKuu1rPIFRlPW780OUgfqKIX1U6sCRcF8O+IIIspogrwlkgjgagjAyJziQDkjuPTOu+Pf0AXne8YG6zCYxWH+bdn8aCS6nkZruteMswQH42T0ibIr+XyhWuTaI\/zLeeHYt6hMSmVG94Etvf+nelnc67a0VwgQUutbzCnc30JQJe8t1\/APhAI2WK8TmxqByAUwGzuJc3INwiit0qlidS\/fwz2wu9zQYkq2e3aB31AvIvxyse1Uze1If57JUx0FKRpciRAtxgXhrIrmE6RL4J4FACq4V8tVKngL5UrvCjev1pP9MJcGlMfiGdKzxo5GRVdqEO5a+kbEzNLZ7AixA1G28y4PnM5wEeBsFCAH+rDpKcL4KtAtllq\/hhHasfG+B2i8zkkuJbzTofrV46503V7DNL0m7HC0x\/TUvJd01fhzcVbCyw3fGCGRURswkMtf3c3ia0BDiEkF3VZ8QhIpwytJus7ldStl5kNjejdZcIuGlY8t17AFxlK+t4tm3dUH7W6a4n8cFU38Bstu\/YXfLdP5WBW5zBZYXt+wOgPz\/7KCXRyyCed3LBoiQ6Rlp4bZuyewO+RqAo5K319I20cOnMvk9TTIx6B8Dfh7eTjwz+5roR+o4FMN0WzuHywhsHBFx3ZD4uik8L0ZnOBSvEnzVbI36DxEN2Lvjc0Es5YOB9Ha2nW0o9ad6nLf0zufydvRaVhP4ImdDPnhtDHiaw1vaCC5OqqAAn8bidC86qbVfys+VNoeMVptU+13n3MRF8+oCADwax3j8MKpZFJHaLcDMg04e2qlsAFhXl9liwtOzDKU8RLCdpakvKUst5U88LjSat\/awnkM5yb4OrggeSQtJ5d70IjhvZrWFDiBZQj9RFYqOdCxaPfF61cMFmEHcP+2qA24bGt3JYO8E1II45MOCDQazqHkhQxAQoiQAOVDsU3Aji0qGgOSojKvVJu63nqUYAB3z3twTKFjVWqyz5mRcALiDwjKBxACNgfPLJgGxwvOLxdYEnfds1cgcEfJ+B3J49RkeyafRPbciHixyLdLgj1LYngqWWwpdVSj+CXdvfrqQnR5uH3JaZoS30ENguYGC+INvi3KTxoALclv5pzVyRdE6fqjlhZwLgf7EtXlU73jCScjBNWRwWY3QkPwBwygEDH+hqPVaJMi4EcYw5JO4n5VmAbZWBpHqDdbrFNdZbDZrad281AUvISypLqYbuJO+uFMG3CPlGrNTLjOUBkN9xcoXrkhhaBTgg3yVrvr5RGotIGuC1zYD\/z324GWslGDSatFmZ6Eh+A2CR3RdONpuDsQDf2TF1+iQ18RWBHGI74Rzs2v5W2OK+BkhrHKkF6ZWFzc2g7wXeTLK2\/j3oUgY6s5coJfPKwxTMGNpU\/JPEfVULT1lrdBhvhMgsxwvKm5CxAC\/52fsAuQKUu5xccYlpH+XdqyPB3QQeS3nBZ1iOo\/VLBXgcx0ekbWt3w1ihoylKqVfqWvjt2cPDSIYFy4o+gZwzGGP46Gh9pCxeU88NJl6Hh757ORWnqljWa+B586mJ4GcATnO84EtyISx9omsW\/29WtuRJgQ90uZcxxv0AXrVVvKCSGBvKizwpwCcIdNheMHxVMGK21aDJctBtllybJILH6gFv\/GJHXxYm+a4SAy\/57iuEHBar+GOMrRcM8BiygcIciA+Lkn5GfFEoj6ZzxXOTWrjOZ88UEWMpKULOsL3i08M++I7WeVops9GaBOArjhd8v97EDpZL0X7m4aH+Ru1KgNMGLRx\/bAB5j+0VzxtZnwj4QNfMBQYyIA\/almqvrFJEyc2I+BzJVQp4LRL5NiE3295gwqiZhQ\/47vlE2bJbLOBaqw7MsDN7Xsx4rckbE7wy5QWmzT6lauEibaJUXyOLYxy3SDnPsq8PH9zYyNQkFltfhrtGboyMbCLgFf+qRC62UmpD7bKw5LtbgPJSzjjYk0G10Mn1dDcCbtxPeGJmpYDtJptIyDLbK65qNMHQz1wRg\/ca5oq42+pN38D2LSarWC0Ha1kodx46Bb1S91wgZEs5LZ2Svjl1xzyRwiU79okjTYHL6hlHam1tArjVdtILw7B0osTyewEeT3vBWbImMzfU6mgR+R0gGx2vuKAyiNEsvNefNdtG9AtznEegJOQyJ1cwZ6lNSynvXg2BkXUIdGtdOnvi1\/cmiWpcyqsAmxwIiEkbz3vP+XBzuhPG6lalsDmKZD7I68tkatbHOp85TYSPC+TytFdc2wi40adjdgN0AHWx4\/WYg9XERa\/KnoxIfi5A0Z4QfJRLUN3t\/l8AryWh8+6pIriK5GupaM8dXLHLZNLKpdTVepLTts1cs6gWk7iH8FMxea+TC6pp3YHO1uMcx+7hjVt3JCZdIyh3zGztD60JLSNOnLTvriAka82c0MYvDnc3I\/uRe+dOiN7s7xKwYHuBucKQuJR8t7xcdLzgmsSNKpyGjjLHD5HHSm4\/5IcdIo9fk9gPgmNsMuyaxPhFoDHSG6P4PheBxq+6jZFgQvG6V91M+\/HLnAkp7r\/Y3sucFR3j15X3n+ZoLetdV\/4PQ5tekh0X4D8AAAAASUVORK5CYII=)¥59~~¥129~~\n\n包含这门课的学习路径\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/d6\/18\/d6cc801441d3a8ed981e2b2665d84518.jpg?x-oss-process=image\/resize,m_fill,h_74,w_74)\n\n### Python工程师\n19门课程 118.0w人学习\n\n看过的人还看了\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/65\/c0\/65dc525140a25af39b780aaae65821c0.jpg)\n\n[数据结构与算法之美](\"数据结构与算法之美\")\n\n王争\n\n前 Google 工程师\n\n81讲 \\| 283795 人已学习\n\n![](data:image\/png;base64,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)¥68~~¥199~~\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/e2\/be\/e2ca3fac4ce89053602b9e7a6d9c02be.jpg)\n\n[左耳听风](\"左耳听风\")\n\n陈皓\n\n网名“左耳朵耗子”，资深技术专家\n\n119讲 \\| 180994 人已学习\n\n![](data:image\/png;base64,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)¥98~~¥399~~\n\n![](https:\/\/static001.geekbang.org\/resource\/image\/d4\/74\/d46d28c922505c8070eff6daa3192d74.jpg)\n\n[MySQL 实战 45 讲](\"MySQL 实战 45 讲\")\n\n林晓斌\n\n网名丁奇，前腾讯云数据库负责人\n\n49讲 \\| 224929 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0 开始学架构](\"从 0 开始学架构\")\n\n李运华\n\n网名“华仔”，前阿里资深技术专家（P9）\n\n66讲 \\| 152613 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Kubernetes](\"深入剖析 Kubernetes\")\n\n张磊\n\nKubernetes 社区资深成员与项目维护者\n\n57讲 \\| 116755 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凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。\n\n目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。\n\n掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。\n\n而 TensorFlow 的初学者经常会遇到以下问题：\n\n1. 网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。\n2. 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Boilerpipe Text	深度学习是近年来人工智能领域最火的一项技术。在众多的深度学习框架中，TensorFlow 凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。而 TensorFlow 的初学者经常会遇到以下问题：网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。 TensorFlow 使用了大量的抽象概念来描述算法模型及其计算过程，譬如张量、操作、占位符、数据流图、会话等。初学者往往难以理解，如果没有详细的指导和点拨，学习起来困难重重。由于初学者对 TensorFlow 的模块和架构设计缺乏整体认知，就无法根据自身需求快速学习和应用，容易胡子眉毛一把抓，皱着眉头钻研半天也抓不住重点。因此，极客时间联合 Google Developers Expert 彭靖田联合推出《TensorFlow 快速入门与实战》这门课程，课程以 TensorFlow 1.12 版本为基础，从 TensorFlow 的发展历程、核心概念开始讲起，并通过四个由浅到深的实战项目练习（提供全部源代码），帮你快速上手 TensorFlow，并能将所学知识应用到工作中，用 AI 为业务赋能。
Markdown	[课程 ](https://time.geekbang.org/resource) [训练营 ](https://u.geekbang.org/?utm_source=time_web&utm_medium=menu&utm_term=timewebmenu) [认证 ![](https://static001.geekbang.org/static/time/img/geek_elements/hot2.png)](https://u.geekbang.org/certificate?utm_source=time_web&utm_medium=menu&utm_term=timewebmenu) [![](https://static001.geekbang.org/resource/image/a9/9d/a9bde6bcd01611c717fed16f3f18959d.png)](https://time.geekbang.org/hybrid/next/svip/home) [部落](https://horde.geekbang.org/home) [资讯 ![](https://static001.geekbang.org/resource/image/4d/ab/4de6505b1852d0359f2f1bb9127ef9ab.png)](https://www.infoq.cn/) [企业版](https://b.geekbang.org/?utm_source=geektimeweb&utm_medium=menu&utm_campaign=entranceplatform&gk_source=2021090101_geektimeweb_menu) 搜索 [![Download](https://static001.geekbang.org/resource/image/2f/66/2f6b3d4f5d0121599a6c2a440e8d6066.png) App](https://time.geekbang.org/download)[![DownloadExtensions](https://static001.geekbang.org/resource/image/80/a4/8065a33cb1aa716dbd48f034b4b934a4.png) 插件](https://time.geekbang.org/download/extensions) [登录]() [注册]() TensorFlow 快速入门与实战 10 小时掌握当前流行的深度学习框架彭靖田 Google Developers Expert，《深入理解 TensorFlow》作者视频课已完结·共 67 讲 \\| 3\.1w 人已学 \\| 收藏 ![](https://static001.geekbang.org/resource/image/a7/66/a784edaa5b541923d18e7e487886d366.png?x-oss-process=image/resize,w_334,h_334/format,webp) 到手价 59 129 新人学习立返 50% 购课币  单课购买 59 [课程介绍](https://time.geekbang.org/course/intro/100023001/intro) [课程目录试看](https://time.geekbang.org/course/intro/100023001/catalog) [课程评价(17)](https://time.geekbang.org/course/intro/100023001/comment) 单课购买 59 ## 限时福利 [![](https://static001.geekbang.org/resource/image/2e/ca/2e8f4403f09c11d5ffee0cf800cb32ca.jpg)](https://time.geekbang.org/column/article/641701) ## 你将获得 1. 快速掌握 TensorFlow 核心概念和架构； 2. 熟练进行模型结构设计、训练及测试； 3. 参数调优及损失函数设计的基本方法； 4. 四个典型的 TensorFlow 应用场景实战（提供全部源代码）； 5. 懂得如何更好地为 TensorFlow 社区做贡献。 ## 课程介绍深度学习是近年来人工智能领域最火的一项技术。在众多的深度学习框架中，TensorFlow 凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。而 TensorFlow 的初学者经常会遇到以下问题： 1. 网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。 2. TensorFlow 使用了大量的抽象概念来描述算法模型及其计算过程，譬如张量、操作、占位符、数据流图、会话等。初学者往往难以理解，如果没有详细的指导和点拨，学习起来困难重重。 3. 由于初学者对 TensorFlow 的模块和架构设计缺乏整体认知，就无法根据自身需求快速学习和应用，容易胡子眉毛一把抓，皱着眉头钻研半天也抓不住重点。因此，极客时间联合 Google Developers Expert 彭靖田联合推出《TensorFlow 快速入门与实战》这门课程，课程以 TensorFlow 1.12 版本为基础，从 TensorFlow 的发展历程、核心概念开始讲起，并通过四个由浅到深的实战项目练习（提供全部源代码），帮你快速上手 TensorFlow，并能将所学知识应用到工作中，用 AI 为业务赋能。 ## 课程目录 ![](https://static001.geekbang.org/resource/image/84/c2/849ba1dd9226d4a0065effcb6af887c2.jpg) 查看更多 免费试读 ## 特别放送 #### 免费领取福利 [![](https://static001.geekbang.org/resource/image/5e/8e/5eac62368caaff2f0fc491cf695c778e.jpg?wh=1035x360)](https://time.geekbang.org/serv/v4/misc/jump?uri=https%3A%2F%2Ftime.geekbang.org%2Fhybrid%2Fmp%2Fjump%3Furl%3Dhttps%253A%252F%252Fstatic001.geekbang.org%252Fresource%252Fimage%252F04%252Ff1%252F04e38f82616f9a025eb39bbe79d2b7f1.png) ## 订阅须知 1. 订阅成功后，推荐通过“极客时间”App 端、Web 端学习。 2. 本专栏为虚拟商品，交付形式为图文 + 音频，一经订阅，概不退款。 3. 订阅后分享海报，每邀一位好友订阅有现金返现。 4. 戳此[先充值再购课更划算](https://shop18793264.m.youzan.com/wscgoods/detail/366k8bbsnpjzcdp?dc_ps=3288312595060320259.200001)，还有最新课表、超值赠品福利等。 5. 企业采购推荐使用“[极客时间企业版](https://b.geekbang.org/?utm_source=geektime&utm_medium=columnintro&utm_campaign=newregister&gk_source=2021020901_gkcolumnintro_newregister)”便捷安排员工学习计划，掌握团队学习仪表盘。 6. 戳此[申请学生认证](https://time.geekbang.com/activity/promo?page_name=page_3471768093)，订阅课程享受原价 5 折优惠。 7. 价格说明：划线价、订阅价为商品或服务的参考价，并非原价，该价格仅供参考。未划线价格为商品或服务的实时标价，具体成交价格根据商品或服务参加优惠活动，或使用优惠券、礼券、赠币等不同情形发生变化，最终实际成交价格以订单结算页价格为准。讲师 ![](https://static001.geekbang.org/resource/image/e0/3d/e0be84fbf50f2285cf35712463ca2e3d.jpg?x-oss-process=image/resize,w_50,h_50/format,webp) ### 彭靖田 ### Google Developers Expert，《深入理解 TensorFlow》作者彭靖田，Google Developers Expert，加州大学圣迭戈分校访问学者，在美国期间从事深度学习与生物医疗技术的结合研究。毕业于浙江大学竺可桢学院，获计算机科学学士学位。开源项目 Kubeflow 维护者，TensorFlow 贡献者，曾一度成为 Tensor...查看更多 ![](https://static001.geekbang.org/resource/image/f7/eb/f726e156d746381273bf70684c9fd8eb.jpg) 编辑推荐 ![](https://static001.geekbang.org/resource/image/86/73/866ef165163dbceb12903b2596741273.jpg) 讲师的其他课程 ![](https://static001.geekbang.org/resource/image/ae/73/ae16ed4246e642a00269aa5612b95b73.jpg) [TensorFlow 2 项目进阶实战]("TensorFlow 2 项目进阶实战") 彭靖田 Google Developer Expert、《TensorFlow 快速入门与实战》作者 56讲 \\| 7373 人已学习 ![](data:image/png;base64,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)¥59~~¥129~~ 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![](https://static001.geekbang.org/resource/image/e2/be/e2ca3fac4ce89053602b9e7a6d9c02be.jpg) [左耳听风]("左耳听风") 陈皓网名“左耳朵耗子”，资深技术专家 119讲 \\| 180994 人已学习 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![](https://static001.geekbang.org/resource/image/d4/74/d46d28c922505c8070eff6daa3192d74.jpg) [MySQL 实战 45 讲]("MySQL 实战 45 讲") 林晓斌网名丁奇，前腾讯云数据库负责人 49讲 \\| 224929 人已学习 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![](https://static001.geekbang.org/resource/image/c6/63/c68f8834b42308fd22aa41c1ce249363.png) [从 0 开始学架构]("从 0 开始学架构") 李运华网名“华仔”，前阿里资深技术专家（P9） 66讲 \\| 152613 人已学习 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![](https://static001.geekbang.org/resource/image/1b/ba/1b55645096bc6d40623601e33f87bcba.jpg) [深入剖析 Kubernetes]("深入剖析 Kubernetes") 张磊 Kubernetes 社区资深成员与项目维护者 57讲 \\| 116755 人已学习 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![](https://static001.geekbang.org/resource/image/23/d2/2343d8a9e059816c0f8c3d89b70583d2.jpg) [趣谈网络协议]("趣谈网络协议") 刘超前网易研究院云计算技术部首席架构师 51讲 \\| 130446 人已学习 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Readable Markdown	深度学习是近年来人工智能领域最火的一项技术。在众多的深度学习框架中，TensorFlow 凭借其强劲的运算性能、高效的超大集群并行能力、生产环境部署的稳定性、丰富的语言接口以及支持灵活的模型设计等特点，成为目前最流行的深度学习框架。目前，阿里、腾讯、京东、小米、网易、滴滴等国内知名互联网企业以及 Airbnb、Uber、Dropbox 等硅谷明星公司，都在生产环境中大规模地使用 TensorFlow。在谷歌内部，更有超过 80% 的软件项目采用了 TensorFlow。掌握 TensorFlow 是从事人工智能相关工作的必备技能之一。而 TensorFlow 的初学者经常会遇到以下问题： 1. 网上各种教程参差不齐，且各自基于不同的 TensorFlow 版本，完全照着做，难免会遇到各种奇怪的问题，有时候折腾半天都解决不了，越看越焦虑，还浪费时间。 2. TensorFlow 使用了大量的抽象概念来描述算法模型及其计算过程，譬如张量、操作、占位符、数据流图、会话等。初学者往往难以理解，如果没有详细的指导和点拨，学习起来困难重重。 3. 由于初学者对 TensorFlow 的模块和架构设计缺乏整体认知，就无法根据自身需求快速学习和应用，容易胡子眉毛一把抓，皱着眉头钻研半天也抓不住重点。因此，极客时间联合 Google Developers Expert 彭靖田联合推出《TensorFlow 快速入门与实战》这门课程，课程以 TensorFlow 1.12 版本为基础，从 TensorFlow 的发展历程、核心概念开始讲起，并通过四个由浅到深的实战项目练习（提供全部源代码），帮你快速上手 TensorFlow，并能将所学知识应用到工作中，用 AI 为业务赋能。
Shard	16 (laksa)
Root Hash	14081775683589953416
Unparsed URL	org,geekbang!time,/course/intro/100023001 s443