faqs_pytorch_scholarship

KO | EN

gitlite — search

#python #llm #rust #nodejs #java #awesome #cli #kubernetes #vue #awesome-list #security #ios #mcp #openai

faqs_pytorch_scholarship

(★ 99)

FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.

File Explorer

Download Latest Version (.zip)

About_the_course.md
CODE_OF_CONDUCT.md
Colab.md
CONTRIBUTING.md
Lab.md
lesson2.md
lesson4.md
lesson5.md
lesson6.md
lesson7.md
lesson8.md
lesson9.md
LICENSE
Miscellaneous.md
README.md

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# FAQs
FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.

# Why we have created this repo?
All the channels of our Slack community are constantly buzzing with great questions and amazing answers. These answers can be in the form of lucid explanations from our peers or references to some awesome resources. But due to a limitation in free plan of Slack, we can search only upto last 10K messages. Due to this limitation, we are loosing the efforts of our peers and all the amazing resources. To prevent this loss of invaluable resources, we have created this repo where we would be regularly adding frequently asked questions and the possible solutions shared by our peers in the Slack channels. Also, this repo would help newer students of this course as they would find solutions to most of the common problems in a single repo. We hope to make this repo useful not only for the students of pytorch scholarship challenge but also for future students of [Intro to Deep Learning with PyTorch by Facebook AI](https://www.udacity.com/course/deep-learning-pytorch--ud188).

# How can I contribute?
We would love to have contributions from you and welcome all your suggestions to improve this repo. Please do not hesitate to make a pull request if you feel it can add any value to the repo, every bit of effort matters. If you have any queries or suggestions, you can DM me at my Slack id <@ish> or open a new github issue. Looking forward to contributions from you. Thanks.

# Content

[About the course](About_the_course.md)

[Lesson 2](lesson2.md)

[Lesson 4](lesson4.md)

[Lesson 5](lesson5.md)

[Lesson 6](lesson6.md)

[Lesson 7](lesson7.md)

[Lesson 8](lesson8.md)

[Lesson 9](lesson9.md)

[Google Colab](Colab.md)

[Lab Challenge](Lab.md)

[Miscellaneous](Miscellaneous.md)

faqs_pytorch_scholarship

File Explorer

Today's picks

Was this content helpful?

Recent Feedback

faqs_pytorch_scholarship

File Explorer

Today's picks

Was this content helpful?

Recent Feedback

Download README