[cs231n之第三课]Loss function and optimization

时间 2020-12-29

标签深度学习优化损失函数繁體版

原文原文链接

课程地址： http://www.bilibili.com/video/av13260183/index_1.html#page=3 课件地址： http://cs231n.stanford.edu/slides/2017/ 本课主要内容：损失函数的含义，以及最优化权值向量的方法。回顾上节课：机器识别图像的巨大困难在于semantic gap(语义代沟) 使用KNN进行图像识别（关键点是像素

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1. (Review cs231n)loss function and optimization
2. CS231n-3-Loss Function & Optimization
3. CS231n 2017Spring Lecture3 Loss Function and Optimization总结
4. Deep Learning, Score function, Loss function 和 optimization function（一）
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6. 应用深度学习function-loss-optimization 2020.8.24
7. (Review cs231n) BN and Activation Function
8. 02/17/2020 Stanford- CS231-note Loss functions and optimization
9. 2. Activation function and Loss function in Pytorch
10. 课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三周（Hype

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