Fast.ai v3 2019课程中文版笔记

@Daniel I’ve accepted the translations on Youtube. Thanks! :slight_smile:

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为什么课程里讲的代码会无法运行呢?
是因为更新吗?

问题不够细致的话,大家想帮助解答也会力不从心,所以请先看看下面内容:

大概率是的。如果运行报错了你可以复制错误信息到论坛搜索,基本都能找到答案怎么修改代码。实在不行就去docs查找报错的函数,在这里:https://docs.fast.ai/

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今年的part2 和去年的part2 完全是两个东西

举个例子,
1.去年的part2 前两节课让你明白如何wrap dataloader, 所以你可以把bbox作为一个部分传进去.
2. Loss function可以被自己定义,并且你可以把两个loss function结合在一起

而这些东西在今年part1 的最后一节课就已经提到了. 比如 super resolution其实稍微改动一下就可以变成 style transfer.

今年的part2 需要提前准备很多python oop的知识,我建议有空的话你可以先看看 python 的 class, magic method, callbacks, decorator, clousure. 会轻松很多

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去年v2课程中使用的wikitext103包含了 fwd_wt103.h5 文件和 bwd_wt103.h5 文件,但最新的库函数 language_model_learner() 使用的是’pth’文件,它和’h5’文件有什么区别呢?以及如果想使用反向的bwd_wt103应该怎么做呢?

Hi @jeremy
I have submitted the English subtitle for lesson 7. please have a look when you have time, thanks!

Hi @jeremy

As you can see I intend to use this main post as my homepage for introducing fastai to Chinese users. Therefore, I will keep this page updated for a long time. However, I just noticed that the main page on this post can’t be edited anymore.

I searched for the cause, and it seems to be time interval limit in the site setting. Could you have a look and help me break the limit? see this referece

Thanks

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I’ve made it into a wiki post which should avoid that issue.

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My notebook at Colab for lecture_1 of Fast.ai is here


See more resources at this page SoAI Beijing repo

请问jeremy在课程中提到的论文有没有收集呢?比如fit_one_cycle()就是来自于他18年发表的paper

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Can i join the team now? And how to join it ?

Thanks to a student contribution there’s now a local Chinese provider option: https://course.fast.ai/start_easyaiforum.html . If anyone tries this out, please let me know how it goes! (And let me know if there are better options in China.)

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How to join this Group. I am at Shanghai.

how could I participate the translation?

你好,我在首次使用kaggle kernel通过第一课代码下载数据库时便出现了connection error。请问这是未科学上网的缘故吗?

可能你没有点击联网,Kaggle kernel设置中有,建议从我们做好的kernels中fork

Hi, the QR code is expired. Can you provide an updated one?

请问一下,第四节课中的自然语言模型,能够写一段话并判断出它的分类吗?(就是判断出是negtive还是positive),而且有中文数据集和预处理模型可以用吗?

Hello, can I join the group? Thank you