Bijay Kumar 
In my eight years of building front-end applications, I’ve realized that the humble checkbox is often the most misunderstood element. It seems simple enough, but managing its state across a complex form can quickly become a headache if you don’t use the right patterns. I have spent countless hours debugging form states in React, and … Read more >>
I’ve seen one small prop cause more confusion than almost anything else. That prop is the key. If you’ve ever looked at your browser console and seen that dreaded “Warning: Each child in a list should have a unique ‘key’ prop,” you’re not alone. I remember spending hours debugging a state issue early in my … Read more >>
I have built dozens of React applications, and I often found myself copying the same UI buttons and input fields from one project to another. It was a huge waste of time. I finally decided to pack my reusable UI elements into a standalone library that I could install via NPM in seconds. In this … Read more >>
Managing data is at the heart of almost every React application I have built over the last eight years. Whether I was working on a financial dashboard for a New York hedge fund or a logistics tracker for a shipping company in Chicago, tables were always the centerpiece. In this tutorial, I will show you … Read more >>
Have you ever found yourself staring at thousands of customer support tickets or legal documents, wondering how to categorize them automatically? In my four years as a Keras developer, I’ve realized that assigning just one category to a text is rarely enough for complex, real-world data. Most documents belong to multiple topics at once, such … Read more >>
I’ve spent the last four years building deep learning models, and one thing I’ve realized is that Transformers can be quite heavy on resources. Recently, I’ve been experimenting with FNet, a model that replaces the complex self-attention layer with a simple Fourier Transform. In this guide, I’ll show you exactly how I use FNet for … Read more >>
Have you ever built a sentiment analysis model, only to realize you have thousands of reviews but zero labels? It is a common headache I have faced many times while working on large-scale Python Keras projects for retail clients. Manually labeling 10,000 reviews is not just boring; it is a massive waste of your technical … Read more >>
I have spent years building computer vision pipelines, and I can tell you that YOLOv8 combined with KerasCV is a game-changer. It simplifies the process of building high-performance models while keeping your code clean and readable. In this tutorial, I will show you exactly how to implement object detection. We will move away from generic … Read more >>
When I first started training deep learning models for image classification, I often relied on the standard Cross-Entropy loss. It worked well enough, but I noticed the models struggled when the classes were visually similar. I discovered that Supervised Contrastive Learning (SupCon) is a game-changer for these scenarios. It helps the model learn to pull … Read more >>
I’ve often found that the best way for a model to “learn” an image is by trying to fix a broken one. Masked Image Modeling (MIM) is a fascinating technique where we intentionally hide parts of an image and ask an Autoencoder to reconstruct the missing pieces. I remember the first time I applied this … Read more >>
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