deep learning

Introduction set is probably the most beautiful mathematical objects ever discovered, a fractal so intricate that regardless of how much you zoom in, you retain finding infinite detail. But what if we asked a...

Introduction: Why this text was created. Anomaly detection: Quick overview. Image size: Is a bigger input size value it? Center crop: Concentrate on the article. Background removal: Remove all you don’t need. Early stopping: Use a validation set. Conclusion 1. Introduction There...

In my previous article I explained how YOLOv1 works and tips on how to construct the architecture from scratch with PyTorch. In today’s article, I'm going to deal with the loss function used to...

that frustrating hovering drone from ? The one which learned to descend toward the platform, go through it, after which just… hang around below it eternally? Yeah, me too. I spent a whole afternoon...

of my Machine Learning Advent Calendar. Before closing this series, I would really like to sincerely thank everyone who followed it, shared feedback, and supported it, specifically the Towards Data Science team. Ending this calendar...

were first introduced for images, and for images they are sometimes easy to know. A filter slides over pixels and detects edges, shapes, or textures. You possibly can read this text I wrote earlier...

of this series, we'll speak about deep learning. And when people speak about deep learning, we immediately consider these images of deep neural networks architectures, with many layers, neurons, and parameters. In practice, the actual...

Introduction of Artificial Intelligence up until now has been defined by a straightforward, albeit expensive, rule: larger is all the time higher. As Large Language Models (LLMs) scale into the trillions of parameters, they...