MATRICIElemente de calcul matriceal

Matrix computing elements can be classified according to their operation methods and application scenarios. Firstly, according to whether they involve vector operations, they can be divided into vectorized operations and non-vectorized operations. Vectorized operations refer to operations that take a vector as input and output a vector, such as matrix multiplication and dot product. Non-vectorized operations refer to operations that operate on individual elements, such as addition, subtraction, and multiplication. For example, linear algebra, machine learning, image processing, and numerical analysis. In machine learning, matrix computing elements are used to calculate gradients, update weights, and solve optimal solutions. In image processing, matrix computing elements are used for image transformation, filtering, and feature extraction.

Amanda Uncianschi Seguir

他的近期作品集 查看更多>>

Trabajos recientes Ver más trabajos>>