Paper

one little trick can bring about enhanced training stability, the usage of larger learning rates and improved scaling properties The Enduring Popularity of AI’s Most Prestigious Conference By all accounts this yr’s NeurIPS, the world’s...

If we speak about object detection, one model that likely involves our mind first is YOLO — well, at the least for me, because of its popularity in the sector of computer vision. The very first version...

Introduction to the Game has been an interesting and on-the-go game since our childhood, one we could play anywhere when bored. The sport is easy. It involves two players, and every player has to...

Welcome back to the Tiny Giant series — a series where I share what I learned about MobileNet architectures. Up to now two articles I covered MobileNetV1 and MobileNetV2. Take a look at references ...

Introduction was a breakthrough in the sphere of computer vision because it proved that deep learning models don't necessarily should be computationally expensive to realize high accuracy. Last month I posted an article where...

Introduction Ever watched a badly dubbed movie where the lips don’t match the words? Or been on a video call where someone’s mouth moves out of sync with their voice? These sync issues are greater...

Python code to create folders and Word documents for research papers in biomedical sciences — multi function go together with only two inputsI'm a researcher with over seven years of experience working in public...

Because the title suggests, in this text I'm going to implement the Transformer architecture from scratch with PyTorch — yes, literally from scratch. Before we get into it, let me provide a temporary overview...