https://github.com/autuanliu/fastai-notes-v3
:dolphin: :whale2: fastai course v3 notes
https://github.com/autuanliu/fastai-notes-v3
chinese fastai-tutorials notes python36 pytorch pytorch-implementation pytorch-tutorials
Last synced: 6 months ago
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:dolphin: :whale2: fastai course v3 notes
- Host: GitHub
- URL: https://github.com/autuanliu/fastai-notes-v3
- Owner: AutuanLiu
- License: mit
- Created: 2019-01-08T03:36:13.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-10T07:26:46.000Z (over 5 years ago)
- Last Synced: 2023-09-27T10:45:40.745Z (over 1 year ago)
- Topics: chinese, fastai-tutorials, notes, python36, pytorch, pytorch-implementation, pytorch-tutorials
- Language: Jupyter Notebook
- Homepage: https://github.com/fastai/course-v3
- Size: 37.9 MB
- Stars: 7
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# fastai course v3 notes
## 目录结构
| file name | info | update date |
| ---------------------- | ------------------ | ----------- |
| Regular_expressions.md | 正则表达式 | 2019/3/15 |
| How_tos.md | 策略以及相关知识点 | 2019/3/16 |
## Jupyter Notebooks Viewer
- [fastai Deep Learning](https://nbviewer.jupyter.org/github/AutuanLiu/Fastai-Notes-V3/tree/master/fastai_DL_nbs/)
- [lesson01_pets](./fastai_DL_nbs/lesson01_pets.ipynb)
- [lesson02_make_datasets](./fastai_DL_nbs/lesson02_make_datasets.ipynb)
- [lesson03_image_segmentation](./fastai_DL_nbs/lesson03_image_segmentation.ipynb)
- [lesson03_head_pose](./fastai_DL_nbs/lesson03_lesson03_head_pose.ipynb)
- [lesson03_imdb](./fastai_DL_nbs/lesson03_imdb.ipynb)
- [lesson03_planet](./fastai_DL_nbs/lesson03_planet.ipynb)
- [lesson04_CollaborativeFiltering](./fastai_DL_nbs/lesson04_CollaborativeFiltering.ipynb)
- [lesson05_collaorative_filtering](./fastai_DL_nbs/lesson05_collaorative_filtering.ipynb)
- [lesson06_pets_more](./fastai_DL_nbs/lesson06_pets_more.ipynb)
- [lesson06_rossmann_pro](./fastai_DL_nbs/lesson06_rossmann_pro.ipynb)
- [lesson06_rossmann](./fastai_DL_nbs/lesson06_rossmann.ipynb)
- [lesson07_cnn_define](./fastai_DL_nbs/lesson07_cnn_define.ipynb)
- [lesson07_image_restoration](./fastai_DL_nbs/lesson07_image_restoration.ipynb)
- [lesson07_image_supperres01](./fastai_DL_nbs/lesson07_image_supperres01.ipynb)
- [lesson07_wgan](./fastai_DL_nbs/lesson07_wgan.ipynb)
- [lesson07-human-numbers-NLP](./fastai_DL_nbs/lesson07-human-numbers-NLP.ipynb)
- [lesson07-superres-imagenet-CV](./fastai_DL_nbs/lesson07-superres-imagenet-CV.ipynb)
- [cnn](./fastai_DL_nbs/dl2/cnn.ipynb)
- [image_triacks](./fastai_DL_nbs/dl2/image_triacks.ipynb)
- [lsuv](./fastai_DL_nbs/dl2/lsuv.ipynb)
- [previews](./fastai_DL_nbs/dl2/previews.ipynb)
- [tricks](./fastai_DL_nbs/dl2/tricks.ipynb)
- [fastai numerical-linear-algebra](https://nbviewer.jupyter.org/github/AutuanLiu/Fastai-Notes-V3/tree/master/fastai_NLA_nbs/)
- [basic_markov_chains](./fastai_NLA_nbs/basic_markov_chains.ipynb)
- [Matrix_decompositions](./fastai_NLA_nbs/Matrix_decompositions.ipynb)
- [NMF_and_SVD](./fastai_NLA_nbs/NMF_and_SVD.ipynb)
- [PageRank](./fastai_NLA_nbs/PageRank.ipynb)
- [AerialCactusIdentification](./AerialCactusIdentification.ipynb)
- [fastai NLP](https://github.com/fastai/course-nlp)
- [basics_data_processing](./fastai_NLP/basics_data_processing.ipynb)
- [BERT](./fastai_NLP/BERT.ipynb)
- [imdb](./fastai_NLP/imdb.ipynb)
- [LanguageModeling](./fastai_NLP/LanguageModeling.ipynb)
- [SVD_NMF](./fastai_NLP/SVD_NMF.ipynb)
- [TF-IDF](./fastai_NLP/TF-IDF.ipynb)
- [transformer_LM](./fastai_NLP/transformer_LM.ipynb)
- [ULMFiT_fwd中文语言模型](./fastai_NLP/ULMFiT_fwd.ipynb)
- [ULMFiT_bwd中文语言模型](./fastai_NLP/ULMFiT_bwd.ipynb)
## 参考资料
1. [Fast.ai v3 2019课程中文版笔记 - Part 1 (2019) / UTC+8 China / SE Asia - Deep Learning Course Forums](https://forums.fast.ai/t/fast-ai-v3-2019/39325)
2. [Practical Deep Learning for Coders, v3 | fast.ai course v3](https://course.fast.ai/)
3. [fastai/fastai: The fastai deep learning library, plus lessons and tutorials](https://github.com/fastai/fastai)
4. [hardikvasa/google-images-download: Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!](https://github.com/hardikvasa/google-images-download)
5. [The Top 10 Algorithms in Applied Mathematics](https://nickhigham.wordpress.com/2016/03/29/the-top-10-algorithms-in-applied-mathematics/)
6. [Machine Learning is Fun! – Adam Geitgey – Medium](https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471)
7. [九五要当学霸 - 知乎](https://www.zhihu.com/people/zhao95/posts)
8. [NMF_tutorial_ICME-2014.pdf](https://perso.telecom-paristech.fr/essid/teach/NMF_tutorial_ICME-2014.pdf)
9. [BashBook](https://books.goalkicker.com/BashBook/)
10. [command-line-data-awk-sed-join-date](https://data36.com/command-line-data-awk-sed-join-date/)
11. [bash](https://devhints.io/bash)
12. [sql](https://data36.com/learn-sql-for-data-analysis-from-scratch/)
13. [hiromis/notes](https://github.com/hiromis/notes)
14. [Deep Learning Lesson 1 Notes - Part 1 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/deep-learning-lesson-1-notes/27748)
## 论文
1. [One-Cycle Policy Fitting paper](https://arxiv.org/pdf/1803.09820.pdf)
2. [LNCS 8689 - Visualizing and Understanding Convolutional Networks](https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf)