https://github.com/asvcode/fastai_resources

Fastai resources
https://github.com/asvcode/fastai_resources

Last synced: 2 months ago
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Fastai resources

• Host: GitHub
• URL: https://github.com/asvcode/fastai_resources
• Owner: asvcode
• Created: 2017-12-14T01:04:06.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-10-28T19:53:59.000Z (about 5 years ago)
• Last Synced: 2024-08-03T22:14:15.392Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 16.5 MB
• Stars: 21
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-fastai - github.com/asvcode/fastai_resources
• awesome-fastai - github.com/asvcode/fastai_resources

README

        
# fastai_v2_P1_resources

Fastai version 2 part 1 (October 2017 class)

### Course Links

[Fastai repository](https://github.com/fastai/fastai) Fastai Version 2 Part 1 repository

### Lesson Notes

I have included a compilaton of my notes and understanding below:

Lesson 1 Cats and Dogs notes:3  [Fastai Forum](http://forums.fast.ai/t/cats-and-dogs-code-notes/7561) | [PDF Link](images/lesson1_notes.pdf "PDF Link")











Lesson 6 Nietzsche notes: [Fastai Forum](http://forums.fast.ai/t/nietzsche-notes-lesson-6/8682) | [PDF Link](images/lesson6-rnn_notes.pdf "PDF Link")











Lesson 7 CIFAR-10 notes: [Fastai Forum](http://forums.fast.ai/t/cifar-10-notes-lesson-7/8888) | [PDF Link](images/lesson7-cifar10_notes.pdf "PDF Link")











### Resources

[AWS setup](https://github.com/reshamas/fastai_deeplearn_part1/blob/master/tools/aws_ami_gpu_setup.md) - thanks to Reshamas

[PaperSpace setup](https://github.com/reshamas/fastai_deeplearn_part1/blob/master/tools/paperspace.md) - thanks to Reshamas

[Kaggle setup](https://github.com/reshamas/fastai_deeplearn_part1/blob/master/tools/download_data_kaggle_cli.md)- thanks to Reshamas

[Uploading data to AWS](https://github.com/asvcode/fastai_v2_P1_resources/blob/master/Uploading%20data%20to%20AWS.md) - quick guide on how to upload your data to AWS using FileZilla