Day01
Nearest Neighbor
Memorize all data and labels
Predict the label of the most similar training image
The nearest neighbor algorithm is the lazy algorithm
K-Nearest Neighbors
instead of copying label from nearest neighbors, take majority vote from K closest points.
K-Nearest Neighbors on images never used
- Very slow at test time
- Distance metrices on pixels are not informative
Distance metrices and K are hyperparameters
Day02
Linear Classification
- Loss function
- Optimization
- Convnets
本博客所有文章除特别声明外,均采用 CC BY-NC-SA 4.0 许可协议。转载请注明来自 GHBlog!
评论