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[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.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.
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.
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.)
## Citations
If you wish to cite the book, you may use the following:
```
@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}
}
```
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如何在计算机视觉、自然语言处理(NLP)、推荐系统、表格和时间序列数据分析中创建最先进的模型:《Deep Learning for Coders with fastai and PyTorch》 如何使用全新的fastai v2库和PyTorch 深度学习的基础:什么是神经网络,它们是如何训练的,以及它们如何进行预测 为什么以及如何使用深度学习模型,以及如何使用这些知识来提高模型的准确性、速度和可靠性 如何将你的模型转换为实际的Web应用程序,以及在模型出错时如何调试模型。 最新的深度学习技术,尝试真正有意义的实践 如何阅读深度学习研究论文 如何实现深度学习算法从无到有 不过该课程并非面向零基础人士,虽说不要求你处理大量数据,也不需要你具备大学水平的数学能力,但是你至少需要有一年的编程经验。
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《Deep Learning for Coders with fastai and PyTorch》fastbook-master.zip (236个子文件)
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