Techie Daydreamer

  Hey guys. In the last post, I gave a brief idea about the neural network where I explained about the very basic idea about neural networks. Today I would discuss a particularly interesting subtopic of neural network - CNN. CNN is a breath-taking architecture (at least in my opinion) which is used to process visual information like images and videos. Have you ever wondered how does face recognition identify that it is you? It is through computer vision, a concept which is heavily backed by CNN. So let’s see how it works, shall we? Just think about it. How do you identify the number 8? Two circles on top of each other, right? What about a cat? If it has two eyes, four legs, fur and paws then it is most likely a cat. If you see it carefully, we are identifying different features inside an image. After analysing the features, we come to a conclusion about the object in the image. This is exactly what CNN does. It extracts features from the images and from its past experiences, it cla...

Hey there! This is your techie daydreamer who is going to explain the absolute basics of neural network. When I first wanted to study Neural Network, I scavenged a lot of resources and the internet but it was only after some insights from my senior that I was able to finally understand this simple yet beautiful concept. So let's begin. The neural network is a concept (should say an integral concept) of deep learning models which is inspired by the human brain. So things are going to get lot easier if we first see how the human brain works. Human brain consists of billions of neurons. Each neuron is connected to many other neurons, creating a complex network and this complexity of the network is the reason why our brain is so much superior to other species. See, neurons have a simple function. They either fire or they don't. On or off. Zeros and ones. If we analyse these tiny switches, we notice that the signals are carried forward by undergoing some mathematical operations. Let...

Hey everyone! Recently I got selected in the round 2 of Sprint4Good AI Hackathon, a 12 hours hackathon conducted by IIT Delhi. So get ready to witness some really energising vibes, tasty refreshments and of course, tons of insights! In the first round, we (me and my friend) were asked to submit our ideas after selected one of their three topics. After a lot of brainstorming, we decided to develop an Exam-oriented AI learning platform. We submitted it with our fingers crossed, hoping out idea would get recognised. And it did!  On my way home from an exhausting Wednesday at college , I got an email from the organising team about our selection. We were thrilled! The second round, which  was the final round, was going to be conducted in IIT Delhi campus. But our happiness was short-lived as we realised   we would be surrounded by some incredibly tough competitors . So the only chance to advance further was to start early. By Thursday, we had decided what tech-stack we needed ...

Hey there! This is your Techie Daydreamer, writing his first post on this blog! In this post, I am going to share the idea which we proposed in my very first “official” hackathon (Yeah, I had attended one hackathon before this but I could not give my all as something came up at that time. Hence this is my first “official” hackathon).   Problem statement: A Hospitality Environment (Hotels / Resorts / Clubs), where the Guest Journey from check-in to check-out integrates multiple service layers (room access, internet, dining, spa, billing, loyalty etc.), all tied to a single guest identity. Your task is to design a solution where a single guest identity (Guest ID / Mobile Number / Booking ID) becomes the central key to avail all hotel services. Okay. So the gist of the problem was to create a unified system to permit the guests to enjoy the hotel services in a seamless manner. You might have faced a similar issue with hotels, right? If you just recall your latest hotel experience, the...