Machine learning notes - neural architecture search technology NAS based on Python to find the best computer vision model

1. Brief introduction

        In recent years, with the rise of deep learning techniques, the field of computer vision has made great progress. Convolutional neural networks (CNNs) have proven exceptionally powerful in image recognition tasks, but designing the optimal architecture for a specific problem remains a challenging task. This is where Neural Architecture Search (NAS) comes into play. NAS is a cutting-edge technology that automates the process of discovering high-performance neural network architectures.

        Typical case YOLO-NAS (Neural Architecture Search)

Machine Learning Notes- YOLO-NAS One of the most efficient target detection algorithms