Open Alex-McAvoy opened 9 months ago
https://alex-mcavoy.github.io/artificial-intelligence/machine-learning/supervised-learning/2ff5ed2b.html
【原始形式与对偶形式】对于感知机模型 $f(\mathbf{x})=\text{sign}(\boldsymbol{\omega}\cdot \mathbf{x}+\theta)$,其损失函数为: L(\boldsymbol{\omega},\theta)=-\sum_{j=1}^M y_j (\boldsymbol{\omega}\cdot\mathbf{x}_j+\theta)这时感知机学习
https://alex-mcavoy.github.io/artificial-intelligence/machine-learning/supervised-learning/2ff5ed2b.html
【原始形式与对偶形式】对于感知机模型 $f(\mathbf{x})=\text{sign}(\boldsymbol{\omega}\cdot \mathbf{x}+\theta)$,其损失函数为: L(\boldsymbol{\omega},\theta)=-\sum_{j=1}^M y_j (\boldsymbol{\omega}\cdot\mathbf{x}_j+\theta)这时感知机学习