Hello everyone! It’s good to be back again after a long break. I have been wanting to write more since my last article on ASH(for example: GPT, ViT, Flamingo, BLIP-2 or LLMs in general) but given my day-to-day office work, it is getting quite hard to track even the recent…

Hello All! It’s been quite some time since I had written blogs in my series “Neural Networks Intuitions”. This time, I am back with a very simple, interesting yet effective technique in Deep Learning that has a direct impact in building real world Computer Vision systems. My recent couple of…

Hello everyone! Welcome back to my series “Neural Networks Intuitions”. In this fourteenth segment, I will be talking about a key concept in Machine Learning which has a direct impact on building real world, scalable ML/DL based systems — that helps in speeding up the labelling process as well as…

Hello All! Good to be back with another article in my series “Neural Networks Intuitions”. …

Hello people :-) I am glad to start a new series, this time on the Basics of Computer Vision which I hope to continue to work on parallelly along with my other series Neural Networks Intuitions. The series “Basics of Computer Vision” will focus on low level computer vision tasks…

Multi-Task Self-Training for Learning General Representations Hello folks :) It’s good to be back again after a long time. In this short edition of my series Neural Networks Intuitions, I would like to explain what self-training is and then talk about a very recent and interesting paper Multi-Task Self-Training for…

Hello everyone! Welcome back to my series Neural Networks Intuitions. This article is going to be about a very recent interesting advancement made in Computer Vision — Learning Transferable Visual Models From Natural Language Supervision. i.e …

Welcome everyone! The tenth article in my series “Neural Networks Intuitions” is about an intriguing and efficient technique to learn representations from unlabelled data — Bootstrap Your Own Latent(BYOL) — A New Approach to Self-Supervised Learning. For some background on transfer learning and self supervised learning, please check my previous…

Distance Metric Learning — Welcome back to my series Neural Networks Intuitions. In this ninth segment, we will be looking into deep distance metric learning, the motivation behind using it, wide range of methods proposed and its applications. Note: All techniques discussed in this article comes under Deep Metric Learning (DML) i.e distance metric…