Ravit's Blog

Hello everyone! I realize that I haven't committed to my promise of one-post a day, and this is actually the second time I've broken my promise. I guess I got bored of writing. I ran out of ideas, and didn't have much motivation to continue writing. However, I also recognize the long-term benefit of writing and preserving these memories, hence why I'm writing right now. As summer vacation comes to a close, I must say that I enjoyed this one. I had the chance to work, and had twice as much fun. I'm grateful to have had an internship this year. My last summer vacation was wracked with guilt of not working, as I had been rejected from all the places I applied to. I wanted to work, but wasn't driven enough to follow up on my goals. I think if I had been given a similar opportunity to work and learn from others, I'd have enjoyed it. Thankfully, I have more to show this summer, and was able to make this summer more productive and guilt-free than the last. - Hipp...

I haven't officially introduced my YouTube channel on this blog, so I figured I might as well do it here. I started the channel in the beginning of June with the goal of spreading knowledge through Hindi lectures/videos, mainly regarding academic topics, such as math, physics, and computer engineering. By making videos, I hope to myself learn more about such topics, and to grow the channel. Thus far, the channel is performing reasonably. At the moment, I have 17 subscribers. Most of my series videos don't get many hits, so I should probably revamp my teaching style or the pertinence of the content I post.

What's up guys? Something crazy happened today. So I went on YouTube and randomly stumbled upon BPRP's live stream. During the stream, there were about 40-70 people, and not that crowded, and it was an informal discussion with Lars, one of BPRP's viewers battling cancer. I started asking questions to bprp and Lars, and asked a few questions. I've been watching the channel's videos for a while now, and I hardly thought that Steve would read aloud say the name "Underground School". Given that this guy has over 300K subscribers, this opportunity was truly a blessing. Link: https://www.youtube.com/watch?v=kCmLsxq4d9w Check out the timestamps where he responded to my comments: 43:19 50:50 1:21:14 (shoutout!) 1:53:55

I'm not really into posts like this, but eh...it's what Google recommends Idle for a day Lie submerged in water with an oxygen mask (maybe fall asleep) Undertaking a marathon Visiting Skydiving Undertaking a triathlon Meeting Sal Khan Moving to India Eating the world's hottest pepper Riding a jetpack

Hello there, It has been two weeks since I published my last post... I'm not quite sure why I stopped writing, but I'll try to make it a habit to continue writing. Since I've missed two weeks, I plan to post twice daily for the next two weeks to make up for missed days. To be honest, I haven't really much missed writing. But commitment is commitment, so I will continue. Part of the issue is that I don't have many topics in mind to write about daily. My day today was pretty good, nothing much out of the ordinary. It's hard to believe how quickly this summer vacation flew by! I'm grateful to have had the opportunity to both find enjoyment in my work and play a ton. I found today that one of my neighborhood friends is moving out in a few months. I have few friends like him, so it saddens me a little to see him go. *sniffle* I had hoped that we could spend more time together and watch each other grow over the next few years, but anyhow. It was fun while it laste...

Today, I learned a bit about the difference between PyTorch and Tensorflow, so why not share? PyTorch and Tensorflow are two deep learning frameworks used in the creation of neural networks; they have largely the same function and intended purpose. However, the major difference between the two is the nature of compiling and computing computation graph. TensorFlow and Static Graph Construction In Tensorflow, a symbolic graph is created first, meaning that it represents all the operations that are to be conducted. Then, following compilation, actual values can be substituted, and numerical results for output can be computed. This is advantageous because the graph only needs to be computed once, rather than dynamically every time an output is to be produced. This is known as static construction, as the graph is created once and only once. PyTorch and Imperative Programming In PyTorch, however, the graph is created dynamically, meaning that there is no need to compile the graph upon...

I also recently learned that Google AI recently developed a neural network to generate predictions regarding depth:  http://ai.googleblog.com/2019/05/moving-camera-moving-people-deep.html . Interestingly, they trained the neural network on the hundreds of videos posted on YouTube pertaining to the Mannequin Challenge. The reason was that in the mannequin challenge, objects are stationary, enabling depth measurement using deterministic algorithms. They then train the neural network to match these values for a single frame. Another slightly more complex version of the model involved passing nearby frames before and after to the neural network. I think that's freakin' cool.