Dec 18, 2025 · 5 min read · Exam weight: 15–20% Study roadmap for this topic: Image classification Object detection Optical Character Recognition (OCR) Face detection and analysis Computer Vision As the name suggests, computer vision is the ability of AI to “see” and iden...
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Dec 9, 2025 · 3 min read · In this guide, I’ll show you how to build your own AI-vs-Human Image Detector using: Streamlit for the UI Hugging Face Transformers PyTorch A modern detection model: Organika/sdxl-detector Overview of What We’re Building This detector: Accepts...
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Nov 29, 2025 · 6 min read · Two months. That's all it's been since I arrived at RPTU (Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau) in Germany's Rhineland-Palatinate. I'm still figuring out the public transport system, still getting used to the academic cal...
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Sep 28, 2025 · 7 min read · Ever wonder how Netflix somehow knows what movie you're going to want to watch next, or how your phone camera can select your face out of a crowd? The wizardry behind much of today's technology is an idea known as a neural network. It may sound like ...
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Sep 20, 2025 · 9 min read · Introduction: Linear regression is like drawing a straight line that best fits the data points. In computer vision, we can use this simple idea to predict things from images. Even though it is a fundamental model, it helps us understand how machines...
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Sep 16, 2025 · 4 min read · Most classifiers ship with a fixed label list. They perform well inside that box and fail silently outside it. So we took this as a challenge. We introduce a classifier that starts from the opposite assumption: the world is open. New product names ap...
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Sep 6, 2025 · 9 min read · Introduction When people hear machine learning, they often imagine massive neural networks powering self-driving cars or chatbots like ChatGPT. But the journey doesn’t start with deep learning — it starts with something much simpler. In fact, one of ...
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Aug 6, 2025 · 8 min read · When you first see a deep learning model recognize a cat or a handwritten number, it feels like magic. But in Deep Learning for Coders with fastai and PyTorch, Chapters 4–7 take you from that magic moment to fully understanding how it works under the...
Join discussionAug 3, 2025 · 5 min read · I built an image classifier in under 15 mins without any knowledge about the internal architecture. Trust me this is so cool. I have been going through the fast.ai deep learning course for a few days now, I have binge watched all of the part 1 videos...
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Jul 31, 2025 · 4 min read · A structured summary of Part 1 (Chapters 1–3) from “Deep Learning for Coders with fastai and PyTorch” by Jeremy Howard & Sylvain Gugger— what I learned and why it matters! Breaking the Barriers: Deep Learning Is for Everyone The biggest myth about de...
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