Machine Learning Operations, also known as MLOps refers to a set of practices that standardizes end-to-end Machine Learning processes. This includes gathering data for the Machine Learning to monitoring it in production, and everything in between. In this blog post, I will talk in brief about MLOps, a skillset that is going to be in …
Google is organizing the 4th iteration of its Landmark Retrieval Challenge on Kaggle- The Google Landmark Retrieval 2021 Challenge. With the help of this completion, Google aims to leverage the Machine Learning practitioners community on Kaggle to help retrieve images that have the same landmark as that in the queried image. Retrieving images that are similar …
Can you make Machine Learning models to Retrieve Landmarks? Read More »
Google is organizing the 4th iteration of its Landmark Recognition Challenge on Kaggle- The Google Landmark Recognition 2021 Challenge. With the help of this completion, Google aims to leverage the Machine Learning practitioners community on Kaggle to help recognize landmarks in images. Recognizing landmarks in images can have tremendous uses cases in helping people to …
Can you make Machine Learning models to Recognize Landmarks? Read More »
In my previous blog post, I showed how you can implement Image Rotation Pretext Training to perform Self Supervised Learning using Keras. You can check out that blog post here. This blog post will be a follow-up to my last blog post. In this blog post, I will compare how the model that we trained …
Comparing Models trained on Pretext Task to Supervised Learning Models Read More »
Self Supervised Learning, or SSL is a really hot topic in the field of Machine Learning and Deep Learning at the moment. You would have definitely come across the term in conferences, blogs, or in various other discussion groups or somewhere else by now. Self Supervised Learning is a very promising approach to training Neural …
Implementing Image Rotation Pretext Training for Self Supervised Learning using Keras Read More »
India is one of the most populous countries in the world, second only to China. Despite that major Indian languages such as Hindi and Tamil have an under-representation on the web and public datasets. This makes the performance of Natural Language Understanding(NLU) models plummet on Indian Languages which subsequently affects the users of these models …
Google CHAII Research Challenge: Answering to Indian Language Questions Read More »
Previously I have talked about the accounts you should follow on Twitter for advancement in Deep Learning. However, when it comes to the world of social media, there is hardly any platform that has a bigger user base and more engagement than Instagram. In this blog post, I will be talking about 8 Instagram accounts …
8 Instagram Accounts to follow for Artificial Intelligence Read More »
Non Fungible Tokens or NFTs have been making the rounds on the internet. It is a hot topic of discussion among many people, but especially so in the ‘crypto’ circles. But what exactly is a Non Fungible Token? This is the question that I will be answering in this blog post. What’s Fungibility? Before moving …
OpenAI is an Artificial Intelligence Research company that was founded by, among other people, Elon Musk. And yesterday, they created history when it demonstrated Codex- a first-of-its-class Neural Network that can convert plain English into a programming language. And it would definitely be an understatement to say that people are amazed and still in awe …
OpenAI Codex Challenge: Partner with Codex to win Competition Read More »
A Machine Learning model making accurate predictions during testing is one thing, but making the model work in the real world is a completely different challenge in itself. There are so many reasons that a Machine Learning model working fine in training will not do so, or will cease to do so after some time …
Introducing Input Drift with an illustrative example Read More »