Deep Learning for CV (X) l1 and l2 regulation softmax softmax(f1,⋯ ,fc)=(exp(f1)∑jexp(fj),⋯ ,exp(f1)∑jexp(fj))softmax(f_1, \cdots, f_c) = \left( \frac{\exp(f_1)}{\sum_j \exp(f_j)}, \cdots, \frac{\exp(f_1)}{\sum_j \exp(f_j)} \right) softmax(f1,⋯,fc)=(∑jexp(fj)exp(f1),⋯,∑jexp(fj)exp(f1)) Course Notes > Deep Learning for CV Deep Learning for CV (X) https://yzzzf.xyz/2024/02/06/deep-learning-for-CV-x/ Author Zifan Ying Posted on February 6, 2024 Licensed under Reinforcement Learning (2-4) Previous Distributed System (6-7) Next Please enable JavaScript to view the comments