• A Worthy Tycoon

    Business by its definition can be said as a group of activities which ensures the movement of goods, money or services across the market by the term called trade. We generally judge a successful business by the amount of money it circulates or the impact it makes in the market....

  • Wading through Graph Neural Networks

    In this blog, I am going to discuss Graph Neural Network and its variants. Let us start with what graph neural networks are and what are the areas in which it can be applied. The sequence in which we proceed further is as follows: Topics Graph and its motivation Graph...

  • Being into Quarantine

    When the entire world was shaken by the terror of a pandemic, I got an obvious notification from the CEO of my company stating the mandatory policy of working from home. Now for a guy like me, who just does not know how to work from home, it was a...

  • How to ___ Variational AutoEncoder ?

    With the surfeit of blogs on this page, I decide to add one more to the list today. We will be talking about various terms like AutoEncoders and Variational AutoEncoders and finally implementing the latter one. So, you may have heard about data compression, right? It means nothing but encrypting...

  • Breaking into Transformers

  • BiDirectional Attention Flow Model for Machine Comprehension

    Question Answering has been a major area of work in Natural Language Processing. I will be discussing as well as implementing the key elements of a research paper which does significantly well on QA related problems. So, What do we do in Question Answering? We are given a context and...

  • Generating Handwritten Sequences Using LSTMs and Mixed Density Networks

    As everyone comes up with a resolution at the start of the year, I would be trying to be more infrequent in my blog postings😀. As it has been over a month, I thought of spilling some words here 😀. In this blog, we will be discussing about an interesting...

  • Incremental Learning Without Forgetting

    One of the major area of concern in deep learning is the generalisation problem. This has been a hot topic for research for the past few years. Generally what happens is that we get a use case, we build a model for that and we push it in production. But...