[
  {
    "path": "LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "README.md",
    "content": "# Deep Learning cheatsheets for Stanford's CS 230\n\nAvailable in [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n## Goal\nThis repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include:\n- **Cheatsheets detailing everything** about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model.\n- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!\n\n## Content\n#### VIP Cheatsheets\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|Convolutional Neural Networks|Recurrent Neural Networks|Tips and tricks|\n\n#### Super VIP Cheatsheet\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|:--:|\n|All the above gathered in one place|\n\n## Website\nThis material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-230), so that you can enjoy reading it from any device.\n\n## Translation\nWould you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!\n\n## Authors\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n"
  },
  {
    "path": "en/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "en/README.md",
    "content": "# Deep Learning cheatsheets for Stanford's CS 230\nAvailable in **English** -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n## Goal\nThis repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include:\n- **Cheatsheets detailing everything** about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model.\n- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!\n\n## Content\n#### VIP Cheatsheets\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|Convolutional Neural Networks|Recurrent Neural Networks|Tips and tricks|\n\n#### Super VIP Cheatsheet\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|:--:|\n|All the above gathered in one place|\n\n## Website\nThis material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-230), so that you can enjoy reading it from any device.\n\n## Translation\nWould you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!\n\n## Authors\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n"
  },
  {
    "path": "fa/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "fa/README.md",
    "content": "<span dir=\"rtl\" align=\"right\">\n\n# راهنماهای کوتاه یادگیری عمیق برای کلاس CS ۲۳۰ استنفرد\n\nقابل دسترسی هم در\n\n</span>\n\n[English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  **فارسی** -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n<span dir=\"rtl\" align=\"right\">\n\n## محتوا\n#### راهنمای کوتاه ویژه\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fa/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fa-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fa/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fa-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fa/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fa-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|شبکه‌های عصبی پیچشی|شبکه‌های عصبی برگشتی|نکات و ترفندها\n\n\n#### راهنمای کوتاه بسیار ویژه\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fa/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fa-004.png\" alt=\"Illustration\" width=\"400px\"/></a>|\n|:--:|\n|همچی در یک جا\n\n\n## نویسندگان اصلی\n\n[افشین عمیدی](https://twitter.com/afshinea) (سنترال پاریس، ام آی تی) و [شروین عمیدی](https://twitter.com/shervinea) (سنترال پاریس، استنفرد).\n\n## ترجمه\nعرفان نوری، الیستر، احسان کرمانی.\n\n\n</span>\n"
  },
  {
    "path": "fr/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "fr/README.md",
    "content": "# Pense-bêtes de Deep Learning pour CS 230 de Stanford\nDisponible en [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  **Français** - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n## But\nCe repo a pour but de résumer toutes les notions importantes du cours de Deep Learning (CS 230) de Stanford, et inclut en particulier :\n- **Pense-bêtes pour chaque domaine de Deep Learning**, accompagné d'une fiche de petites astuces, utile lorsque vous construisez un modèle en pratique.\n- Tous les éléments ci-dessus **compilés**, à avoir avec vous tout le temps !\n\n## Contenu\n#### Pense-bêtes VIP\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fr/pense-bete-reseaux-neurones-convolutionnels.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fr-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fr/pense-bete-reseaux-neurones-recurrents.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fr-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fr/pense-bete-petites-astuces-apprentissage-profond.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fr-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|Réseaux de neurones convolutionnels|Réseaux de neurones récurrents|Petites astuces|\n\n#### Super Pense-bête VIP\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/fr/super-pense-bete-apprentissage-profond.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/fr-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|:--:|\n|Tous les concepts rassemblés à un seul endroit|\n\n## Site\nLes fiches sont aussi disponibles sur un [site dedié](https://stanford.edu/~shervine/l/fr/teaching/cs-230), de manière à ce que vous puissiez les parcourir à partir de n'importe quel appareil.\n\n## Auteurs\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) et [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n"
  },
  {
    "path": "ja/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "ja/README.md",
    "content": "# スタンフォードのCS 230のディープラーニングのチートシート\n\n[English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - **日本語** - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi) で利用可能になりました\n\n## コンテンツ\n#### VIP チートシート\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/ja/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/ja-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/ja/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/ja-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/ja/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/ja-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|畳み込みニューラルネットワーク|リカレントニューラルネットワーク|アドバイスやコツ|\n\n#### Super VIP チートシート\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/ja/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/ja-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|---|\n\n## 原著者\n[アフシンアミディ](https://twitter.com/afshinea) (エコール・サントラル・パリ, マサチューセッツ工科大学) ・ [シェルビンアミディ](https://twitter.com/shervinea) (エコール・サントラル・パリ, スタンフォード大学)\n\n## 訳\nトラントゥアンアン・中井義之・リンダン・浜野・カムエララウ・森裕樹\n"
  },
  {
    "path": "tr/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2019 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "tr/README.md",
    "content": "# Derin Öğrenme El Kitabı (Stanford CS 230)\n\nIçinde mevcut [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  **Türkçe** - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n## Içindekiler\n#### El Kitabı VIP\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/tr/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/tr-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/tr/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/tr-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/tr/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/tr-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|Evrişimli Sinir Ağları|Tekrarlayan Yapay Sinir Ağları|Püf noktaları ve ipuçları|\n\n#### El Kitabı Super VIP\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/tr/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/tr-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|---|\n\n## Yazarlar\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) ve [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n\n## Tercümanlar\nAyyüce Kızrak, Yavuz Kömeçoğlu ve Başak Buluz\n"
  },
  {
    "path": "vi/LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Afshine Amidi and Shervine Amidi\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "vi/README.md",
    "content": "# Học sâu cheatsheets (Stanford CS 230)\n\nCó sẵn bằng [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - **Tiếng Việt**\n\n## Nội dung\n#### VIP cheatsheets\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/vi/cheatsheet-convolutional-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/vi-001.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/vi/cheatsheet-recurrent-neural-networks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/vi-002.png?\" alt=\"Illustration\" width=\"280px\"/></a>|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/vi/cheatsheet-deep-learning-tips-tricks.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/vi-003.png?\" alt=\"Illustration\" width=\"280px\"/></a>|\n|:--:|:--:|:--:|\n|Mạng neural tích chập|Mạng neural hồi quy|Mẹo và thủ thuật trong|\n\n#### Super VIP cheatsheet\n|<a href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/vi/super-cheatsheet-deep-learning.pdf\"><img src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/vi-004.png?\" alt=\"Illustration\" width=\"400px\"/></a>|\n|---|\n\n## Các tác giả\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, Viện Công nghệ Massachusetts) và [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Đại học Stanford)\n\n## Dịch thuật\nTrần Tuấn Anh, Nguyễn Trí Minh, Hung Nguyễn, Đàm Minh Tiến, Hoàng Minh Tuấn và Phạm Hồng Vinh\n"
  }
]