Deep Learning and AI have gained a lot of popularity because of the recent advancements in the field showing their capabilities for tasks like image detection, chat completion, image generation etc. At the base of all these models is Artifical Neural Networks(ANN). This article provides a basic understanding of maths and theoretical working of these networks. Most of the maths present in this article comes under Linear Algebra and Calculus. Anyone who has done an undergrad course or two on these topics will be familiar with the concepts explained in the article.

Hello! 🔗The following is a short introduction thats meant to give a general info about me to the people that stumble on this site. Natively from Kerala, India, I’m currently a final year undergrad student studying Computer Science in Amrita University, Amritapuri — a beautiful coastal town where serene beaches, lush greenery and activities in the nearby ashram provide an inspiring backdrop for my life here. I spend time with neural networks and PyTorch when working and linear algebra when studying.

A project using the U-NET model for segmenting water bodies from satellite images. The model is deployed to Huggingface spaces using Gradio. This is one of my first D projects and I learned a lot doing this project. Anyway its not a big deal, I just uploaded this project as a blog to test the working of this Hugo theme and I routinely modify it just to get the GitHub activity graph green.