Category Neural Networks

3D Object Reconstruction from 2D Images: A Review

In this series of blog posts, I hope to shine light on some of the existing neural-network based techniques for reconstructing the three-dimensional model of an object given its two-dimensional image counterpart. Along the way, I’ll review some landmark papers that tackle this problem in novel ways. Before we go into the details, here’s why […]

How Prisma Works: An Overview of Artistic Style Transfer using Neural Networks

Today, I decided to pen down a quick review of an algorithm that lies at the heart of all the beautiful Van Gogh and Picasso versions of your profile picture. Once this algorithm was unleashed onto the world, it went viral and resulted in all sorts of apps like Prisma and Vinci, and has since, been extended to video […]

Getting started with TensorFlow and Caffe

UPDATE! Check out out my new post on How Prisma Works: An Overview of Artistic Style Transfer using Neural Networks. Thanks to a deep learning course I have enrolled for in college, I got introduced to working with docker images and tools such as Tensorflow and Caffe. In this blog post, I ‘ll go over the […]