deep learning

a part of a series of posts on optimizing data transfer using NVIDIA Nsight™ Systems (nsys) profiler. Part one focused on CPU-to-GPU data copies, and part two on GPU-to-CPU copies. On this post, we turn our attention...

Introduction substitute is a staple of image editing, achieving production-grade results stays a major challenge for developers. Many existing tools work like “black boxes,” which suggests we've got little control over the balance between...

or fine-tuned an LLM, you’ve likely hit a wall on the very last step: the Cross-Entropy Loss. The offender is the logit bottleneck. To predict the subsequent token, we project a hidden state into...

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...