Deep Learning and . . .
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
Image segmentation is the task in which we assign a label to pixels (all or some in the image) instead of just one label for the whole image. As a result, image segmentation is also categorized as a dense prediction task. Unlike detection using rectangular bounding boxes, segmentation provides pixel accurate locations of objects in … Continue reading A Look at Image Segmentation using CNNs
Motivation One of the biggest challenges during designing new neural network architectures is time. During real-world workflows, one often trains many different neural networks during the experimentation and design process. This is a wasteful process in which each new model is trained from scratch. In a typical workflow, one trains multiple models, with each model … Continue reading Paper Explanation: Net2Net – Accelerating Learning via Knowledge Transfer
