Remove local READMEs

README.md

@@ -1,20 +1,23 @@
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md) / [Portuguese](./README_pt.md)
+[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md) / [Portuguese](./README_pt.md) / [Vietnamese](./README_vn.md)
 
 # The fastai book
 
 These notebooks cover an introduction to deep learning, [fastai](https://docs.fast.ai/), and [PyTorch](https://pytorch.org/). fastai is a layered API for deep learning; for more information, see [the fastai paper](https://www.mdpi.com/2078-2489/11/2/108). Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
 
-These notebooks are used for [a MOOC](https://course.fast.ai) and form the basis of [this book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.
+These notebooks are used for [a MOOC](https://course.fast.ai) and form the basis of [this book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), which is currently available for purchase. It does not have the same GPL restrictions that are on this repository.
 
-The code in the notebooks and python `.py` files is covered by the GPL v3 license; see the LICENSE file for details.
-
-The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other than making copies of the notebooks or forking this repo for your own private use. No commercial or broadcast use is allowed. We are making these materials freely available to help you learn deep learning, so please respect our copyright and these restrictions.
+The code in the notebooks and python `.py` files is covered by the GPL v3 license; see the LICENSE file for details. The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other than making copies of the notebooks or forking this repo for your own private use. No commercial or broadcast use is allowed. We are making these materials freely available to help you learn deep learning, so please respect our copyright and these restrictions.
 
 If you see someone hosting a copy of these materials somewhere else, please let them know that their actions are not allowed and may lead to legal action. Moreover, they would be hurting the community because we're not likely to release additional materials in this way if people ignore our copyright.
 
-This is an early draft. If you get stuck running notebooks, please search the [fastai-dev forum](https://forums.fast.ai/c/fastai-users/fastai-dev/) for answers, and ask for help there if needed. Please don't use GitHub issues for problems running the notebooks.
+## Colab
+
+Instead of cloning this repo and opening it on your machine, you can read and work with the notebooks using [Google Colab](https://research.google.com/colaboratory/). This is the recommended approach for folks who are just getting started -- there's no need to set up a Python development environment on your own machine, since you can just work directly in your web-browser.
+
+You can open any chapter of the book in Colab by clicking on one of these links: [Introduction to Jupyter](https://colab.research.google.com/github/fastai/fastbook/blob/master/app_jupyter.ipynb) | [Chapter 1, Intro](https://colab.research.google.com/github/fastai/fastbook/blob/master/01_intro.ipynb) | [Chapter 2, Production](https://colab.research.google.com/github/fastai/fastbook/blob/master/02_production.ipynb) | [Chapter 3, Ethics](https://colab.research.google.com/github/fastai/fastbook/blob/master/03_ethics.ipynb) | [Chapter 4, MNIST Basics](https://colab.research.google.com/github/fastai/fastbook/blob/master/04_mnist_basics.ipynb) | [Chapter 5, Pet Breeds](https://colab.research.google.com/github/fastai/fastbook/blob/master/05_pet_breeds.ipynb) | [Chapter 6, Multi-Category](https://colab.research.google.com/github/fastai/fastbook/blob/master/06_multicat.ipynb) | [Chapter 7, Sizing and TTA](https://colab.research.google.com/github/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb) | [Chapter 8, Collab](https://colab.research.google.com/github/fastai/fastbook/blob/master/08_collab.ipynb) | [Chapter 9, Tabular](https://colab.research.google.com/github/fastai/fastbook/blob/master/09_tabular.ipynb) | [Chapter 10, NLP](https://colab.research.google.com/github/fastai/fastbook/blob/master/10_nlp.ipynb) | [Chapter 11, Mid-Level API](https://colab.research.google.com/github/fastai/fastbook/blob/master/11_midlevel_data.ipynb) | [Chapter 12, NLP Deep-Dive](https://colab.research.google.com/github/fastai/fastbook/blob/master/12_nlp_dive.ipynb) | [Chapter 13, Convolutions](https://colab.research.google.com/github/fastai/fastbook/blob/master/13_convolutions.ipynb) | [Chapter 14, Resnet](https://colab.research.google.com/github/fastai/fastbook/blob/master/14_resnet.ipynb) | [Chapter 15, Arch Details](https://colab.research.google.com/github/fastai/fastbook/blob/master/15_arch_details.ipynb) | [Chapter 16, Optimizers and Callbacks](https://colab.research.google.com/github/fastai/fastbook/blob/master/16_accel_sgd.ipynb) | [Chapter 17, Foundations](https://colab.research.google.com/github/fastai/fastbook/blob/master/17_foundations.ipynb) | [Chapter 18, GradCAM](https://colab.research.google.com/github/fastai/fastbook/blob/master/18_CAM.ipynb) | [Chapter 19, Learner](https://colab.research.google.com/github/fastai/fastbook/blob/master/19_learner.ipynb) | [Chapter 20, conclusion](https://colab.research.google.com/github/fastai/fastbook/blob/master/20_conclusion.ipynb)
+
+
+## Contributions
 
 If you make any pull requests to this repo, then you are assigning copyright of that work to Jeremy Howard and Sylvain Gugger. (Additionally, if you are making small edits to spelling or text, please specify the name of the file and a very brief description of what you're fixing. It's difficult for reviewers to know which corrections have already been made. Thank you.)
 

README_bn.md

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-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# fastai বই
-
-এই নোটবুকগুলি প্রারম্ভিক ডীপ লার্নিং, [fastai](https://docs.fast.ai/), এবং [PyTorch](https://pytorch.org/) কভার করে। fastai হল ডীপ লার্নিং -এর জন্য একটি স্তরবিশিষ্ট API; আরও জানার জন্য [fastai পেপারটি](https://www.mdpi.com/2078-2489/11/2/108) দেখুন। এই রেপোর অন্তর্ভুক্ত সমস্তকিছুর স্বত্ব ২০২০ সাল থেকে জেরেমি হাওয়ার্ড ও সিলভ্যাঁ গাগার দ্বারা রক্ষিত।
-
-এই নোটবুকগুলি [একটি MOOC -এ](https://course.fast.ai) ব্যবহৃত হয় এবং এগুলি [এই বইটার](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527) ভিত্তি, যা এখন কিনতে পাওয়া যাচ্ছে। এই খসড়ার অন্তর্ভুক্ত বিষয়বস্তু GPL লাইসেন্সের আওতাধীন, কিন্তু বইটি GPL লাইসেন্সের বাঁধাধরার আওতাভুক্ত নয়।
-
-এই নোটবুকগুলিতে ব্যবহৃত কোড এবং পাইথন `.py` ফাইলগুলি GPL v3 লাইসেন্সের আওতাধীন। আরও জানার জন্য LICENSE ফাইলটি দেখুন।
-
-বাদবাকি সমস্তকিছুর (নোটবুকের সমস্ত মার্কডাউন সেল এবং অন্যান্য টেক্সটের) কোনরকম পুনর্বিতরণ বা তাদের আকার বা মাধ্যমের কোনরকম পরিবর্তন অনুমোদিত নয়। তবে এই নোটবুকগুলিকে ব্যক্তিগত ব্যবহারের প্রয়োজনে কপি করা যেতে পারে, বা রেপোটিকে ফর্ক করা যেতে পারে। এই নোটবুকগুলি ব্যবসায়িক উদ্দেশ্যে ব্যবহার করা বা কোনভাবে সম্প্রচার করা নিষিদ্ধ। আমরা আপনাদের ডীপ লার্নিং শেখায় সাহায্য করার জন্য এই মেটেরিয়ালগুলি বিনামূল্যে উপলব্ধ করছি। সুতরাং আমাদের স্বত্বাধিকারকে সম্মান করুন, এবং বিধিনিষেধগুলিকে মান্যতা দিন।
-
-যদি আপনি এই মেটেরিয়ালগুলি বা তাদের কোন কপিকে অন্য কোথাও কারও দ্বারা হোস্টেড হতে দেখেন, তাহলে তাঁদের জানান যে তাঁদের কার্যকলাপ অনুমোদিত নয়, এবং তাঁদের বিরুদ্ধে আইনী ব্যবস্থা নেওয়া হতে পারে। উপরন্তু, তাঁরা ব্যবহারকারী গোষ্ঠীর ক্ষতিসাধন করবেন, কারণ আমাদের স্বত্বাধিকার ক্ষতিগ্রস্ত হলে আমরা এইভাবে অতিরিক্ত মেটেরিয়াল প্রকাশ করার আগে অনেকবার ভাববো।
-
-এইটা একটা শুরুর দিকের খসড়া। যদি আপনার নোটবুকগুলি রান করতে কোনরকম সমস্যা হয়, তাহলে [fastai-dev ফোরামে](https://forums.fast.ai/c/fastai-users/fastai-dev/) উত্তরের খোঁজ করুন, অথবা সাহায্যের প্রয়োজন হলে সাহায্য চান। নোটবুকগুলি রান করতে কোনরকম সমস্যা হলে তা জানানোর জন্য অনুগ্রহ করে গিটহাব ইস্যুর ব্যবহার করবেন না।
-
-আপনি যদি এই রেপোতে কোন পুল রিকোয়েস্ট তৈরি করেন, তাহলে আপনি সেই কাজের স্বত্বাধিকার জেরেমি হাওয়ার্ড এবং সিলভ্যাঁ গাগারকে অর্পণ করছেন। (আরও জেনে রাখুন- আপনি যদি বানান বা লেখায় ছোট আকারের কোন ভুল সংশোধন করতে চান, তাহলে অনুগ্রহ করে ফাইলের নাম এবং আপনার করা পরিবর্তনের একটা অতিসংক্ষিপ্ত বিবরণ যোগ করুন। রিভিউয়ারদের পক্ষে বিভিন্ন ফাইল এবং সম্পর্কিত পরিবর্তনের হিসেব রাখা কঠিন হয়ে দাঁড়াচ্ছে। ধন্যবাদ।)

README_es.md

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-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# The fastai book
-
-Una colección de Jupyter Notebooks que cubren una introducción al Deep Learning, [fastai](https://docs.fast.ai/) y [PyTorch](https://pytorch.org/). fastai es una API en capas para Deep Learning; para mayor información lea [la publicación](https://www.mdpi.com/2078-2489/11/2/108). Todos los documentos incluídos en este repositorio tienen derechos de autor para Jeremy Howard y Sylvain Gugger, desde 2020 en adelante.
-
-Estos Notebooks son usados para [el MOOC](https://course.fast.ai) (Massive Open Online Courses por sus siglas en ingles, cursos abiertos masivos en línea) y forman la base del  [libro](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), el cual se encuentra actualmente disponible para su compra. El libro no tiene las mismas restricciones de GPL que se incluyen en este borrador.
-
-El código en los Notebooks y en los archivos de python `.py` está cubierto por la licencia GPL v3; consulte el archivo de LICENSE para obtener más detalles.
-
-El resto de textos (incluidas todas las celdas de Markdown en los Notebooks) no tienen licencia para su redistribución o cambio de formato o medio, más allá del uso de copias de los Notebooks o bifurcar el repositorio para uso privado. No se permite el uso comercial o de difusión. Ponemos estos materiales a su disposición de forma gratuita para ayudarle a aprender sobre Deep Learning, así que por favor respete las restricciones y nuestros derechos de autor.
-
-Si observa a alguien usando una copia de estos materiales incumpliendo la licencia, por favor infórmele que sus acciones no están permitidas y pueden dar lugar a acciones legales. Además, estarían perjudicando a la comunidad porque es probable que dejemos de publicar materiales adicionales si la gente ignora nuestros derechos de autor.
-
-Este es un borrador inicial. Si encuentra problemas ejecutando los Notebooks, podrá buscar ayuda y respuestas en el [foro fastai-dev](https://forums.fast.ai/c/fastai-users/fastai-dev/). Por favor, no utilice _GitHub issues_ para problemas relacionados con la ejecución de los Notebooks.
-
-Todo _pull request_ realizado a este repositorio queda asignado bajo derechos de autor a Jeremy Howard y Sylvain Gugger. (Además, si realiza pequeñas modificaciones en la ortografía o el texto, por favor indique el nombre del archivo y una descripción breve de lo que está corrigiendo. A los revisores les resulta cada vez más difícil saber qué correcciones ya se han realizado. Gracias).

README_id.md

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-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# Buku fastai
-
-Notebook-notebook ini membahas pengantar deep learning, [fastai](https://docs.fast.ai/), dan [PyTorch](https://pytorch.org/). fastai adalah API berlapis untuk deep learning; untuk informasi lebih lanjut, lihat [the fastai paper](https://www.mdpi.com/2078-2489/11/2/108). Semua yang ada di repo ini adalah hak cipta Jeremy Howard dan Sylvain Gugger, 2020 dan seterusnya.
-
-Notebook ini digunakan untuk [MOOC](https://course.fast.ai) dan menjadi dasar untuk [buku ini](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), yang saat ini tersedia untuk dibeli. Buku tersebut tidak memiliki batasan GPL yang sama dengan yang ada di draf ini.
-
-Kode dalam notebook dan file python `.py` dilindungi oleh lisensi GPL v3; lihat file LICENSE untuk lebih detail.
-
-Lebih dari itu (termasuk semua sel-sel markdown di notebook-notebook dan prosa lainnya) tidak dilisensikan untuk pendistribusian ulang atau perubahan format atau media, selain untuk membuat salinan dari notebook-notebook atau me-fork repo ini untuk penggunaan pribadi anda sendiri. Tidak ada penggunaan komersial atau hak siaran diperbolehkan. Kami menyediakan materi ini secara gratis untuk membantu anda mempelajari deep learning, jadi mohon harap hormati hak cipta kami dan batasan-batasan ini.
-
-Jika anda melihat seseorang menghosting salinan materi ini di tempat lain, beri tahu mereka bahwa tindakan mereka tidak diizinkan dan dapat menyebabkan tindakan hukum. Selain itu, mereka akan merugikan komunitas karena kami tidak mungkin merilis materi tambahan dengan cara ini jika orang mengabaikan hak cipta kami.
-
-Ini adalah draf awal. Jika anda mengalami kebuntuan saat menjalankan notebook, silakan cari [forum fastai-dev](https://forums.fast.ai/c/fastai-users/fastai-dev/) untuk mendapatkan jawaban, dan mintalah bantuan di sana jika diperlukan. Harap jangan gunakan GitHub issues untuk masalah menjalankan notebook.
-
-Jika anda membuat pull request apa pun ke repo ini, anda memberikan hak cipta atas karya tersebut kepada Jeremy Howard dan Sylvain Gugger. (Selain itu, jika anda membuat pengeditan kecil pada ejaan atau teks, harap sebutkan nama file dan uraian singkat perihal apa saja yang anda perbaiki. Seiring berjalannya waktu, semakin sulit bagi peninjau untuk mengetahui koreksi mana yang telah dilakukan. Terima kasih.)
-
-## Kutipan
-
-Jika Anda ingin mengutip buku tersebut, Anda dapat menggunakan:
-
-```
-@book{howard2020deep,
-title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD},
-author={Howard, J. and Gugger, S.},
-isbn={9781492045526},
-url={https://books.google.no/books?id=xd6LxgEACAAJ},
-year={2020},
-publisher={O'Reilly Media, Incorporated}
-}
-```

README_it.md

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-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# Il libro di fastai
-
-Questi notebooks contengono un'introduzione al deep learning, [fastai](https://docs.fast.ai/), e [PyTorch](https://pytorch.org/). fastai è un API a più livelli per il deep learning; per ulteriori informazioni, si rimanda al [paper di fastai](https://www.mdpi.com/2078-2489/11/2/108). Tutto ciò che è contenuto in questa repo è copyright di Jeremy Howard e Sylvain Gugger, dal 2020 in poi.
-
-Questi notebooks sono utilizzati come [MOOC (Massive Open Online Courses)](https://course.fast.ai) e costituiscono la base di [questo libro](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), attualmente disponibile per l'acquisto. Il libro non ha le stesse restrizioni GPL presenti in questa bozza.
-
-Il codice presente nei notebook e i file python `.py` sono coperti dalla licena GPL v3; consulta il file LICENSE per maggiori dettagli.
-
-Il resto (incluse tutte le celle di markdown dei notebooks) non è concesso in licenza per alcuna ridistribuzione o cambio di formato o supporto, salvo la creazione di copie dei notebooks o fork della repo per uso privato. Non è consentito alcun uso commerciale o distributivo. Stiamo rendendo questi materiali disponibili gratuitamente per aiutarti ad apprendere il deep learning, quindi ti preghiamo di rispettare il nostro copyright e queste restrizioni.
-
-Qualora si notasse qualcuno intendo ad utilizzare una copia di questi materiali da qualche altra parte, si prega di informarlo che le sue azioni non sono consentite e potrebbero portare a un'azione legale. Inoltre, danneggerebbero la comunità perché è probabile che in questo modo non rilasceremo più materiale aggiuntivo se le persone ignorano il nostro copyright.
-
-Questa è una prima bozza. Se si incontrano difficoltà nell'eseguire i notebooks, si prega di cercare risposte nel [fastai-dev forum](https://forums.fast.ai/c/fastai-users/fastai-dev/), chiedendo aiuto lì se necessario. Si prega di non utilizzare GitHub issues per problemi relativi all'esecuzione dei notebooks.
-
-Qualsiasi pull request a questa repo assegna il copyright del lavoro a Jeremy Howard e Sylvain Gugger. (Inoltre, se si stanno apportando piccole modifiche all'ortografia o al testo, si prega di specificare il nome del file e una breve descrizione di ciò che si sta sistemando. È difficile per i revisori sapere quali correzioni sono già state apportate. Grazie.)
-
-## Citazioni
-
-Qualora si desiderasse citare il libro, è possibile farlo nella seguente maniera:
-
-```
-@book{howard2020deep,
-title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD},
-author={Howard, J. and Gugger, S.},
-isbn={9781492045526},
-url={https://books.google.no/books?id=xd6LxgEACAAJ},
-year={2020},
-publisher={O'Reilly Media, Incorporated}
-}
-```

README_ko.md

@@ -1,18 +0,0 @@
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# The fastai book - draft
-
-이 draft는 [fastai](https://docs.fast.ai/), [PyTorch](https://pytorch.org/) 에 대한 소개를 다루고 있습니다. fastai는 딥러닝을 위한 레이어드 API입니다. fastai에 대한 자세한 정보는 [the fastai paper](https://www.mdpi.com/2078-2489/11/2/108) 를 참고하실 수 있습니다. 이 저장소는 2020년부터 Jeremy Howard와 Sylvain Gugger가 저작권을 갖고 있습니다.
-
-이 노트북들은 2020년 3월부터 샌프란시스코에서 [강의하는 과정](https://www.usfca.edu/data-institute/certificates/deep-learning-part-one) 에 사용되며, 2020년 7월경부터는 MOOC 강좌로 이용할 수 있을 것입니다. 우리의 계획은 이 노트북들이 [이 책](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527) 의 기본이 되어 선주문할 수 있게 하는 것입니다. 그 책에는 이 초안에 있는 것과 같은 GPL 규제를 가지고 있지 않을 것입니다.
-
-노트북에 포함된 코드와 python `.py` 파일의 코드는 GPL v3 라이센스로 처리됩니다. 자세한 내용은 License 파일을 참조 부탁드립니다.
-
-나머지(노트북 및 기타 모든 마크다운 셀 포함)는 노트북의 복사본을 만들거나 개인적으로 이 리포(repo)를 요청하는 것 외에는, 형식이나 매체의 재배포 또는 변경에 대해 허가되지 않습니다. 또한, 상업적으로 사용하거나 방송용으로의 이용은 허용되지 않습니다. 딥러닝을 배우는 데 도움이 될 수 있도록 이러한 자료를 무료로 제공하고 있으니, 당사의 저작권 및 제한 조치를 따라 주세요.
-
-다른 곳에서 이러한 자료의 사본을 호스팅하는 사람을 보게 되면, 불법 행위이며, 법적 조치로 이어질 수 있음을 알려주기 바랍니다. 또한 만약 사람들이 이 제한을 무시한다면, 더 이상 이런 식으로 추가 자료를 발표하지 않을 것이기 때문에 꼭 지켜주시길 바랍니다.
-
-이것은 가장 초안입니다. 노트북을 실행할 때 오류가 발생한다면 [fastai-v2 포럼](https://forums.fast.ai/c/fastai-users/fastai-v2) 에서 답변을 검색하고, 도움을 요청하십시오. GitHub issue 에서는 이러한 문제를 다루지 않을 것이니 올려주시지 않기를 부탁드립니다.
-
-만약 이 repo에 PR을 보낸다면, 해당 저작물의 저작권을 Jeremy Howard와 Sylvain Gugger에게 할당하는 것입니다. (추가적으로, 철자법이나 텍스트에 대해 편집을 한다면, 파일의 이름과 당신이 고치고 있는 것에 대한 간단한 설명을 함께 명시해주십시오. 검토자들이 어떤 수정이 이루어졌는지 확인하는 것이 어렵기 때문입니다. 감사합니다.)

README_pt.md

@@ -1,33 +0,0 @@
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Portuguese](./README_pt.md)
-
-# O Livro fastai
-
-Estes cadernos Jupyter cobrem a introdução a _deep learning_, [fastai](https://docs.fast.ai/), e [PyTorch](https://pytorch.org/). A fastai é como uma interface por camadas para _deep learning_. Para mais informações, ler o [paper sobre a fastai](https://www.mdpi.com/2078-2489/11/2/108). Todos os direitos dos conteúdos deste repositório são reservados a Jeremy Howard e Sylvain Gugger, de 2020 ao presente.
-
-Os cadernos são usados para o [curso online](https://course.fast.ai) e são a base [deste livro](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527), que se econtra atualmente para a venda. O livro não contém as mesmas restrições da licença GPL que constam neste rascunho.
-
-O código existente nos cadernos e ficheiros python `.py` estão abrangidos pela licença GPLv3. Ver o ficheiro LICENSE para mais detalhes.
-
-Os restantes conteúdos, incluindo todas as celas markdown nos cadernos e outros textos, não são licenciados para nenhuma redistribuição ou alteração de formato ou meio, além de cópias dos cadernos ou bifurcações do repositório para uso privado. Nenhum uso comercial ou de distribuição é permitido. Estes materiais são distribuídos gratuitamente para poder ajudar a aprender sobre _deep learning_ e, como tal, pede-se o respeito pelas licenças e estas restrições.
-
-Se souber de alguém a fornecer uma cópia destes materiais noutro sítio, por favor, indique-lhe que não é permitido e pode levar a ação judicial. Além do mais, estariam a prejudicar a comunidade pois deixaremos de publicar novos materiais se as licenças e restrições forem continuamente ignoradas.
-
-Este repositório é um esboço inicial. Se se deparar com algum problema ao correr os cadernos, por favor use o [fastai-dev forum](https://forums.fast.ai/c/fastai-users/fastai-dev/) para obter ajuda e crie novas perguntas se for necessário. Não utilize os _issues_ do GitHub para problemas relacionados com a execução dos cadernos.
-
-Ao fazer um pedido de junção de alterações (_pull request_) para este repositório está a transferir todos os direitos desse trabalho para o Jeremy Howard e Sylvain Gugger (Adicionalmente, se for uma alteração de texto mínima para corrigir ortografia ou melhorar gramática, por favor, indique o nome do ficheiro e uma breve descrição do que está a alterar. É difícil para quem mantém o repositório saber quais correções já foram feitas. Obrigado.)
-
-## Citações
-
-Se deseja citar o livre, pode fazê-lo da seguinte forma:
-
-```
-@book{howard2020deep,
-title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD},
-author={Howard, J. and Gugger, S.},
-isbn={9781492045526},
-url={https://books.google.no/books?id=xd6LxgEACAAJ},
-year={2020},
-publisher={O'Reilly Media, Incorporated}
-}
-```

README_zh.md

@@ -1,18 +0,0 @@
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)  
-[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md)
-
-# The fastai book
-
-这些notebook包含了对深度学习，[fastai](https://docs.fast.ai/)，以及[PyTorch](https://pytorch.org/)的介绍。fastai是一个用于深度学习的分层API；要了解更多信息，请阅读[the fastai paper](https://www.mdpi.com/2078-2489/11/2/108)论文。本repo的所有内容的版权都属于Jeremy Howard和Sylvain Gugger，起自2020年。
-
-这些notebook被用于[一个MOOC课程](https://course.fast.ai)，并且是[这本书](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527)（目前可供购买）的基础。书籍并没有本稿的GPL限制。
-
-notebook 里的代码以及 python 的 `.py` 文件受到 GPL v3 开源协议的保护；更多详情请查看 LICENSE 文件。
-
-其余部分（包括 notebook 里的 markdown 单元以及其他文字内容）可以用于重新发布，调整格式或者载体。你可以复制这里的 notebook 或者 fork 本 repo 用于个人目的。但是任何商业传播行为都是不被允许的。我们制作这些资料是用来帮助你学习深度学习的，所以请遵守我们的版权以及上述限制.
-
-如果你在别的地方发现任何人持有这些资料的副本，请告诉他们，他们的行为是不被允许的，并可能导致法律措施被采取。而且，他们可能会对社区造成伤害。这是因为如果人们忽视我们的版权，我们可能不会再像这样发布新的资料。
-
-这些资料还属于初稿阶段。如果你在运行这些 notebook 时遇到困难，请尝试在[fastai-dev forum](https://forums.fast.ai/c/fastai-users/fastai-dev/)搜索或者寻求帮助。请不要因为运行 notebook 中遇到的问题而使用 GitHub issues。
-
-若果你要为本 repo 创建 pull request，那么你的作品版权将归于 Jeremy Howard 和 Sylvain Gugger。（另外，如果你是对拼写和文本做一些小修改，请标注文件名并对你的修改提供一个简单的说明。因为对 reviewer 来说，越来越难发现哪些地方已经被改正了。非常感谢。）

clean/01_intro.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/02_production.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "# ! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/03_ethics.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/04_mnist_basics.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/05_pet_breeds.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/06_multicat.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/07_sizing_and_tta.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/08_collab.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/09_tabular.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab kaggle waterfallcharts treeinterpreter dtreeviz\n",
+    "! [ -e /content ] && pip install -Uqq fastbook kaggle waterfallcharts treeinterpreter dtreeviz\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/10_nlp.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/11_midlevel_data.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/12_nlp_dive.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/13_convolutions.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/14_resnet.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/15_arch_details.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/16_accel_sgd.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]
@@ -319,8 +319,8 @@
    "outputs": [],
    "source": [
     "class ModelResetter(Callback):\n",
-    "    def begin_train(self):    self.model.reset()\n",
-    "    def begin_validate(self): self.model.reset()"
+    "    def before_train(self):    self.model.reset()\n",
+    "    def before_validate(self): self.model.reset()"
    ]
   },
   {

clean/17_foundations.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/18_CAM.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/19_learner.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/20_conclusion.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

clean/app_jupyter.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/01_intro.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/02_production.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "# ! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]
@@ -2011,4 +2011,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/03_ethics.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/04_mnist_basics.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/05_pet_breeds.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/06_multicat.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/07_sizing_and_tta.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]
@@ -827,7 +827,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The third image is built by adding 0.3 times the first one and 0.7 times the second. In this example, should the model predict \"church\" or \"gas station\"? The right answer is 30% church and 70% gas station, since that's what we'll get if we take the linear combination of the one-hot-encoded targets. For instance, suppose we have 10 classes and \"church\" is represented by the index 2 and \"gas station\" is reprsented by the index 7, the one-hot-encoded representations are:\n",
+    "The third image is built by adding 0.3 times the first one and 0.7 times the second. In this example, should the model predict \"church\" or \"gas station\"? The right answer is 30% church and 70% gas station, since that's what we'll get if we take the linear combination of the one-hot-encoded targets. For instance, suppose we have 10 classes and \"church\" is represented by the index 2 and \"gas station\" is represented by the index 7, the one-hot-encoded representations are:\n",
     "```\n",
     "[0, 0, 1, 0, 0, 0, 0, 0, 0, 0] and [0, 0, 0, 0, 0, 0, 0, 1, 0, 0]\n",
     "```\n",

notebooks/08_collab.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/09_tabular.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab kaggle waterfallcharts treeinterpreter dtreeviz\n",
+    "! [ -e /content ] && pip install -Uqq fastbook kaggle waterfallcharts treeinterpreter dtreeviz\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/10_nlp.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]
@@ -2283,4 +2283,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

notebooks/11_midlevel_data.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/12_nlp_dive.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/13_convolutions.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/14_resnet.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/15_arch_details.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/16_accel_sgd.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/17_foundations.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/18_CAM.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/19_learner.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/20_conclusion.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]

notebooks/app_jupyter.ipynb

@@ -7,7 +7,7 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! [ -e /content ] && pip install -Uqq fastai  # upgrade fastai on colab\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
     "import fastbook\n",
     "fastbook.setup_book()"
    ]