Frequently Asked Technical Questions in Slack channel of Udacity's Private and Secure Scholarship Challenge 2019.

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 the 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 be adding frequently asked questions and the possible solutions shared by our peers in the Slack channels. Also, this repo would help future 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 "Secure and Private AI Scholarship Challenge with Facebook" but also for future students of Secure and Private AI course by Facebook AI on Udacity.

• For Newbies, you can find the Intro to Deep Learning with PyTorch course by Udacity here. Also, if you're buzy and overwhelmed, here is a collection of summary notes compiled by previous scholars in the PyTorch scholarship challenge.
• [https://docs.google.com/document/d/1RU9oNRkk-yCE3UfgnwOGw5E5d3xTSp533Bt7NdKIbbc/edit?usp=sharing](#60daysofudacity FAQs)
• [https://docs.google.com/document/d/1DlfQ6q0tBS6EgmTZsc2U7ve3b2A1uRPX9UvnTw8lrsk/edit?usp=sharing](Tech Help AMAs Transcripts)
• Frequently Asked Technical Questions(FATQs) 2018/19 PyTorch Scholarship challenge with Udacity.
• Deep Learning with Pytorch resource airtable.
• Private and Secure AI resource airtable, you can contribute by submitting you resource through this link.