Click on the above“Beginner Learning Vision” to selectStar or “Top” Valuable content delivered to you first This article is adapted from: Artificial Intelligence and Algorithm Learning At the core of computer vision is image processing, which fundamentally involves signal reconstruction under certain assumptions. This reconstruction is not about 3-D structure reconstruction; it refers to recovering … Read more
Click on the above “Beginner Learning Visuals” to select “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is reprinted from: AI Algorithms and Image Processing Recently, researchers from Harbin Institute of Technology, Guangdong University of Technology, Tsinghua University, and National Tsing Hua University in Taiwan jointly authored a comprehensive review on … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Table of Contents: A Brief Review of ELMo and Transformer DAE and Masked Language Model Detailed Explanation of BERT Model Different Training Methods of BERT Model How to Apply BERT Model in Real Projects How to Slim Down BERT Problems with BERT … Read more
Continuing from the previous article Deep Learning (1) – Overview, Distributed Representation, and Ideas 9. Common Models or Methods in Deep Learning 9.1 AutoEncoder The specific process is briefly described as follows: 1) Given unlabeled data, learn features using unsupervised learning: In our previous neural network, as shown in the first diagram, the samples we … Read more
Selected from Medium Author:Harshvardhan Gupta Compiled by Machine Heart Contributors: Liu Xiaokun, Lu Xue Last year, Facebook published a paper titled “Unsupervised Machine Translation Using Monolingual Corpora Only,” proposing unsupervised machine translation using monolingual corpora. Recently, an article on Medium interpreted this paper, and Machine Heart has compiled an introduction to it. Deep learning is … Read more