CS231n lecture 3 Linear classification and Optimization

时间 2020-12-30

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Linear classification 现在呢针对KNN classifier的缺点，我们提出了一个更强大的方法对于图像分类问题，这个之后会扩展到神经网络。这个方法主要包含两部分: score function (map the raw data to class scores) 将原始数据映射为类的分数。另一个是 loss function (quantify the agreement

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1. cs231n-notes-Lecture-2/3
2. CS231n Notes Linear Classification
3. CS231n lecture 2 Image classification
4. CS231n-3-Loss Function & Optimization
5. CS231n（二）Linear Classification Notes
6. Lecture 11 ：Linear Models for Classification
7. (Review cs231n)loss function and optimization
8. CS231n: Lecture 11 | Detection and Segmentation
9. [CS131] Lecture 2 Color and Linear Algebra
10. [CS231n-CNN] Image classification and the data-driven approach, k-nearest neighbor, Linear classific...

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