First move with Move!In this article, we are going to take our first step with the Move Programming Language. Learn about some intricate details of how it…Jul 30, 2023Jul 30, 2023
Published inThe StartupI, Arc, Am Looking to Fundraise $30kto support myself for the next 3years as i research, learn and build.Feb 26, 2021A response icon1Feb 26, 2021A response icon1
My First Paper and the birth of TReXThe article describes a bit about how i got into research and how i started building TReX to help myself and all researchers out there.Jan 23, 2021Jan 23, 2021
Published inTDS ArchiveDeepFool — A simple and accurate method to fool deep Neural Networks.An Adversarial AttackMay 17, 2019May 17, 2019
Published inTDS ArchivePVANET: Deep but Lightweight Neural Networks for Real-time Object DetectionA paper summaryFeb 9, 2019A response icon3Feb 9, 2019A response icon3
Published inTDS ArchiveENet — A Deep Neural Architecture for Real-Time Semantic SegmentationA Paper SummaryJan 27, 2019A response icon2Jan 27, 2019A response icon2
Published inTDS ArchiveIntroduction to Reinforcement Learning — Chapter 1A Chapter summary of Chapter 1 — Introduction from Sutton’s and Barto’s RL Book.Jan 14, 2019Jan 14, 2019
Published inTDS ArchiveDeep Learning for Classical Japanese LiteratureA Paper SummaryDec 30, 2018A response icon2Dec 30, 2018A response icon2
Published inTDS ArchiveConvolutional Neural NetworkIn this article, we will see what are Convolutional Neural Networks, ConvNets in short. ConvNets are the superheroes that took working…Dec 25, 2018A response icon9Dec 25, 2018A response icon9
Published inTDS ArchivePerceptual Losses for Real-Time Style Transfer and Super-ResolutionThis is a paper summary of the paper: Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Justin Johnson, Alexandre…Sep 8, 2018A response icon5Sep 8, 2018A response icon5
