Deep Learning and . . .
I just finished reading Gintama. The Manga had officially ended during the summer of last year, but I never really caught up to the finale. I think, unconsciously, I didn't Gintama to end, so I just decided not to read for a while. You know what they say, "if you never read it, it's never … Continue reading Gintama. The Silver Soul of Jump.
I got in! This is all that has been buzzing around in my head for the past four days. What am I talking about? I had applied to graduate schools a couple of months back. Finally, after no news winter, results started flowing in. By results I mean, rejections. Harsh, cold rejections which universities try to … Continue reading I Got In!
Today makes it exactly one month since I arrived in the USA! Pretty exciting!! Now this post isn't going to talk about the whole crazy, stressful and somewhat enjoyable path to me landing the internship and also not about my work here. Maybe, I'll get to those things sometime later. I'm more going to be … Continue reading One Month in the USA
If I wanted to describe this Manga in one word, it would have to be "F*CK"! (Such a splendid vocabulary I have). One of those moments in Prison School that makes you question what you're reading. There are so many things wrong with the scene, yet look at everyone's stern and serious expressions. I'll be … Continue reading Prison School
If we go for somewhat safe here, it'll mean we never changed!Sugawara Koushi This quote summarizes the new Karasuno boy's volleyball team. Throughout all of the three seasons, change and risk have been the only constant for them. Haikyuu is the first sports Anime I have watched (although I have read some sports Manga before) … Continue reading Haikyuu!!
The final event of Thomso 2018, Wargasm, a party filled with explosively loud music, high college students and electricity in the air, signed off the annual cultural fest of IIT Roorkee with a bass drop! So, this is my third Thomso after coming to IIT Roorkee and for various silly reasons my first time attending … Continue reading My First EDM Night!
Variational encoders (VAEs) are generative models, in contrast to typical standard neural networks used for regression or classification tasks. VAEs have diverse applications from generating fake human faces and handwritten digits to producing purely "artificial" music. This post will explore what a VAE is, the intuition behind it and also the tough looking (but quite … Continue reading Variational Autoencoder Explained
