kevytmalleista
Kevytmalleista, or lightweight models, refers to a category of machine learning models designed for efficiency in terms of computational resources, memory usage, and inference speed. These models are particularly relevant in scenarios where deployment on devices with limited processing power, such as mobile phones, embedded systems, or IoT devices, is required.
The development of kevytmalleista often involves various techniques. Model compression is a common approach, which includes
Architectural innovations also contribute to kevytmalleista. This includes designing more parameter-efficient network architectures, such as mobile-optimized
The goal of kevytmalleista is to achieve a satisfactory level of accuracy while minimizing resource consumption,