Selected from Medium Author:Shagun Maheshwari Translated by Machine Heart Contributors: Chen Yunzhu, Lu This article introduces a new model called XNN (Explainable Neural Network) designed to “open” and explain neural networks. The network consists of three important components: the projection layer, subnetworks, and the combination layer. XNN can also serve as an alternative to complex … Read more
Follow the official account “ML_NLP“ Set as “Starred“, valuable content delivered to you first! Author: Yang Chongyang, Harbin Institute of Technology SCIR 1. Introduction Traditional natural language processing methods are interpretable, including rule-based methods, decision tree models, hidden Markov models, logistic regression, etc., which are also known as white-box techniques. In recent years, deep learning … Read more
Click the “Expert Knowledge” above to follow for more AI insights! Source: Zhihu – Qs.Zhang https://zhuanlan.zhihu.com/p/30074544 【Introduction】Hello everyone, my name is Zhang Quanshi, a postdoctoral researcher at UCLA. Currently, I lead a team in Professor Zhu Songchun’s lab, focusing on explainable AI. The title of this article is quite grand; in this short essay, I … Read more