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With the advancement in the world of technology, automation in every aspect of job has gained a lot of attention. Starting from chatbots to self-driving cars, this field of research and application is taking a huge leap. This post is on the application of deep neural network architectures in the field of object detection. I first thought of going into details on the various algorithms available, but that would turn out to be a huge resource sounding more like a boring lecture. This one will contain a general overview of some of the most applied algorithms, viz. Sliding Window, R-CNN…


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Yes, “Quantum Computers are here and they are ready to change the face of computation as we know it.” Well not really though, as of now, but they surely will play a huge impact in the near future. So it’s not bad to stay updated on this new technology. This is a very brief overview to Quantum Computing focusing on a very basic hands-on coding of quantum algorithm using the Microsoft Quantum Development Kit, to understand some fundamental quantum phenomenon. …


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Its 5:30 in the morning of 8th March and I haven’t even closed my eyes for a minute since yesterday. I don’t even know if I might make sense of what I am writing but the excitement is hard to contain. After all, being in the organizing committee of one of the biggest hackathon of South India is certainly challenging and fun. It was finally time for the flagship event of ACM-VIT, Code2Create.

I just came home after completing the technical review for the teams in Day 1. While I should take some rest and get ready for Day 2…


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DevJams’19 at VIT

So, I finally attended my first ever hackathon, organised in my college. Yay me! I have been waiting a long time to finally get this chance to write my blog post on a hackathon that I have attended. The time has finally come. This post will be revolving around the wonderful experience I had at the event, the things I learnt and the experience gained.

I am currently studying Masters in Computer Application from Vellore Institute of Technology, Vellore. The Google Developers Student Club chapter at VIT, organised the first ever DevJams, a 36 hours hackathon, within the campus. I…


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I was browsing through the news, in an app called CONVERGE, a few days back and one of the news caught my attention. It was regarding the application of deep learning architectures to recognizes faces in street-cam footage of some country. Its fascinating, how from millions or billions of people, the intelligent devices are able to recognize faces in real-time. In this post, I am going to talk about face verification using one-shot learning in the Siamese network, being applied successfully to implement this in various companies.
(Note:

  1. The featured image was just a random search result. …

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This post will be on the various types of CNN, designed and implemented successfully in various fields of image processing and object recognition. Its better if you have an idea of Convolutional Neural Network. You probably have heard of ImageNet. It is a large organized visual image database used by researchers and developers to train their models. Now, they host an annual competition named ImageNet Large Scale Visual Recognition Challenge (ILSVRC) — a competition related to object detection and image classification on a large scale. Generally, the top performers of this competition are able to set a benchmark in the…


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With the world of programmers and scientists going crazy over artificial intelligence, it’s becoming a need of the hour to stay updated on the various research on deep learning that is helping in faster growth of AI. This post is about one of the deep learning model successfully applied in the image recognition industry, over the years. In 1995, Yann LeCun and Yoshua Bengio introduced the concept of Convolutional Neural Networks.

Himadri Sankar Chatterjee

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