![Gabriel Peyré on Twitter: "The soft-max is the gradient of the log-sum-exp. Central to preform classification using logistic loss. Needs to be stabilised using the log-sum-exp trick. Also at the heart of Gabriel Peyré on Twitter: "The soft-max is the gradient of the log-sum-exp. Central to preform classification using logistic loss. Needs to be stabilised using the log-sum-exp trick. Also at the heart of](https://pbs.twimg.com/media/DUIfES0X0AAOsLm.jpg)
Gabriel Peyré on Twitter: "The soft-max is the gradient of the log-sum-exp. Central to preform classification using logistic loss. Needs to be stabilised using the log-sum-exp trick. Also at the heart of
![IJMS | Free Full-Text | Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure IJMS | Free Full-Text | Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure](https://www.mdpi.com/ijms/ijms-19-00030/article_deploy/html/images/ijms-19-00030-g003.png)
IJMS | Free Full-Text | Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure
![Find the sum of n terms of the series `log a + log (a^2/b) + log (a^3/b^2) + log(a^4/b^3)...` - YouTube Find the sum of n terms of the series `log a + log (a^2/b) + log (a^3/b^2) + log(a^4/b^3)...` - YouTube](https://i.ytimg.com/vi/GTU71DeeVPQ/maxresdefault.jpg)
Find the sum of n terms of the series `log a + log (a^2/b) + log (a^3/b^2) + log(a^4/b^3)...` - YouTube
![Underflow/overflow from improper log, then sum, then exp · Issue #5 · lanl-ansi/inverse_ising · GitHub Underflow/overflow from improper log, then sum, then exp · Issue #5 · lanl-ansi/inverse_ising · GitHub](https://user-images.githubusercontent.com/34282885/37849138-f1a0d492-2eac-11e8-808c-d5080ea3e6b2.png)