I thought it could be cool to start a thread specifically for sharing student projects and blog posts, and for sharing other interesting content on the web–articles, frameworks, papers, etc. You can absolutely share these types of links in other threads, I just wanted to set up this catch-all thread in case people were afraid to post things they find/build in other forum threads
To start things off, here are some recent blogs posts:
Wanted to say thanks to @brendan! I followed your blog last night and set up my environment. Your instructions were great and very helpful and saved me a lot of time. In my case, neither my mobo nor my cpu had integrated graphics, so I didn’t have the problems with the nvidia drivers or having to install/remove the card.
@sravya8 I’m looking forward to your blog on getting the ssh up and running!
Please also post any new articles here! Otherwise we won’t find them!
I also want to reiterate Jeremy’s point that blogging about your work + learning has many unexpected benefits. I recently uploaded a few of my notes on linear algebra to medium and to my surprise it’s become quite popular. It was republished in a medium publication called Towards Data Science, it has over 73 recommends, gave me 100 new followers, it’s been tweeted a bunch of times by people I’ve never met, and at one point someone emailed me and offered me a job. All that for casually uploading a few linear algebra notes.
The web is a powerful medium to share new ways of thinking. Over the last few years we’ve seen many imaginative examples of such work. But traditional academic publishing remains focused on the PDF, which prevents this sort of communication.
This seems like a neat idea, with some big names on the steering committee.
Thanks for the posts @brendan I read through a few - great stuff. Still considering building my own DL machine but we’ll see…
Any way, I ran across this post and thought it was a really good intro on CNNs (at least for me) so I wanted to post it here for others to checkout if they’re interested.
I was exploring the imagenet notebook and was looking to get a primer and intuition on how word2vec works. I wrote a fun blog article with some examples on using word2vec to answer some fan theory on games of thrones. thought would share in case benefits folks.
I just tweeted it, so hopefully you’ll get a few more readers and job offers…
