Published inArtificial Intelligence in Plain EnglishImproving Deep Neural Network’s Segmentation Efficiency Of Medical ImagesI am always curious about data, particularly images. Neural Networks fascinates me, so does an image. While I was working, I got many…May 14, 2020May 14, 2020
Published in#StudentStoriesThe OriginResume often doesn’t justify you as a person, Your Story does!Feb 18, 2020Feb 18, 2020
Using Policy Gradient in Deep Learning?**Disclaimer — I wanted someplace to jot down my thoughts around it, hence wrote this story. I might be completely wrong with the…Feb 10, 2019Feb 10, 2019
When GOT’S Game of Faces meets Generative Adversarial Networks!!Well, if you are a die hard fan of Game of Thrones and if by little chance, you are a newbie in Neural networks and is interested to learn…Aug 23, 2017Aug 23, 2017
Multi-Task Learning with Deep Neural NetworksMulti-Task learning is a subfield of machine learning where your goal is to perform multiple related tasks at the same time. The system…Jul 26, 201712Jul 26, 201712
Published inTechnology @ SiftrAnalyzing BigdataWith recent changes and development in our product we now have thousands of new users using our product on a daily basis. With huge influx…Aug 1, 2016Aug 1, 2016
