| YOLO (You Only Look Once) |
A fast object detection algorithm that finds and identifies objects in images or videos in one go. It's widely used in situations like self-driving cars and security cameras where quick and accurate detection is important. |
| Yann LeCun |
A pioneer in AI and deep learning, known for developing convolutional neural networks (CNNs) and making significant contributions to computer vision and neural network research. |
| Yannakakis Principle |
The Yannakakis Principle is about understanding how difficult a problem is to solve and finding the most efficient way to solve it, often used in optimization and AI model training. |
| Yields |
Refers to the output or results produced by a machine learning model after it processes input data. It’s essentially what the model predicts or generates based on the data it has learned from. |
| Y-Data |
The actual result or answer that a model tries to predict in supervised learning. For example, if you're predicting house prices, the Y-Data is the real house prices. |
| Yokota Data Representation |
A computational method that helps AI handle and organize complex, multi-dimensional data, making it easier for models to analyze and use large datasets. |
