Machine Heart reported Machine Heart Editorial Department Can neural networks complete various tasks without learning weights? Are the image features learned by CNN just what we think they are? Are neural networks merely combinations of functions with no other meaning? From this paper, the answers to these questions seem to be affirmative. Yesterday, a paper … Read more
Author: Sam Hill Translators: Tian Ao, Song Qingbo, Aileen, Long Muxue Reply “novel” in the background to download the complete new novel created by the neural network～ Winter is coming…… Season 7 of “Game of Thrones” has ended, but it is said that the last six episodes of this series will not air until spring … Read more
Baidu NLP Column Author: Baidu NLP 1. Introduction Text matching is an important foundational problem in natural language processing. Many tasks in natural language processing can be abstracted as text matching tasks. For example, web search can be abstracted as a relevance matching problem between web pages and user search queries, automatic question answering can … Read more
Report by New Intelligence Source: aiweirdness, gizmodo Translated by: Xiao Qin [New Intelligence Overview]One of the specialties of neural networks is image recognition. Tech giants like Google, Microsoft, IBM, and Facebook all have their own photo tagging algorithms. However, even the top image recognition algorithms can make very strange mistakes, they only see what they … Read more
Authorized Reprint from CSDN Source: codewords.recurse.com Translator: Liu Diwei, Reviewer: Liu Xiangyu, Editor: Zhong Ha Website: http://www.csdn.net Abstract: This article is based on the author’s reading of papers and practical tests, attempting to deceive neural networks. It gradually analyzes neural networks and the mathematical principles behind them, from tool installation to model training. The article … Read more
Big Data Digest works, reposting requires authorization Author| Han Xiaoyang && Long Xincheng Thanks| Owen for translating and providing part of the content from Recurrent Neural Networks Tutorial part 1 Source|http://blog.csdn.net/han_xiaoyang/article/details/51253274 Big Data Digest’s “Machine Learning” column is established! We welcome everyone to leave valuable comments and submit articles to us. How to join us? … Read more
Big Data Digest Works Compiled by: Fu Yiyang, Ding Hui, Aileen In the wave of AI, the loudest voices are about neural networks. However, AI is much more than that. Currently, the most funding in the AI technology field is being directed towards research on neural networks. To many, neural network technology seems to be … Read more
Produced by Big Data Digest Compiled by: Li Lei, Da Jieqiong, Yun Zhou If you have opened a browser in the past few years, you have definitely seen the term “neural network” hundreds of times. In this short article, I will give you a preliminary introduction to this field and background information about neural networks … Read more
|Author: Jiang Wenjie1 Deng Dongling1,2,† (1 Tsinghua University Institute for Interdisciplinary Information Sciences) (2 Shanghai Qi-Zhi Institute) This article is selected from “Physics” 2021 Issue 2 Abstract Neural network quantum states are quantum states represented by artificial neural networks. Thanks to the breakthroughs in machine learning, especially deep learning in recent years, the study of … Read more
This is a work by Big Data Digest, please refer to the end of the article for reproduction requirements. Original Author | Adam Geitgey Translation | Wu Shuang, Da Li, Da Jieqiong, Aileen To know oneself and one’s enemy, whether you want to become a hacker (which is not recommended!) or prevent future hacking intrusions, … Read more