12 Key Points from Andrew Ng’s Computer Vision Course

12 Key Points from Andrew Ng's Computer Vision Course

AI World 2017 Opening Video The AI WORLD 2017 World Artificial Intelligence Conference, hosted by the new intelligence source AI news think tank, was held on November 8 at the National Convention Center in Beijing. The conference, themed ‘AI New Dimensions, China Intelligent+’, featured reports and discussions from over a hundred AI leaders covering the … Read more

A Year in Computer Vision: Comprehensive CV Technical Report

A Year in Computer Vision: Comprehensive CV Technical Report

Selected from The M Tank Translated by Machine Heart Contributors: Jiang Siyuan, Liu Xiaokun The M Tank has edited a report titled “A Year in Computer Vision,” documenting the research achievements in the field of computer vision from 2016 to 2017. This detailed material is invaluable for developers and researchers. The material consists of four … Read more

Deep Learning and Computer Vision: A Comprehensive Overview

Deep Learning and Computer Vision: A Comprehensive Overview

This summer, Lei Feng Network will host the “Global Artificial Intelligence and Robotics Innovation Conference” (GAIR) in Shenzhen. At this conference, we will release the “Top 25 Innovative Companies in Artificial Intelligence and Robotics” list, and Huiyan Technology is one of the companies we are focusing on. Today, we have invited Li Hanxi, the R&D … Read more

Stanford CS231N Deep Learning and Computer Vision Part 6: Neural Network Structure and Activation Functions

Stanford CS231N Deep Learning and Computer Vision Part 6: Neural Network Structure and Activation Functions

This article is a Chinese version of the Stanford University CS231N course notes, authorized for translation and publication by Professor Andrej Karpathy of the Stanford course. This is a work by Big Data Digest, and unauthorized reproduction is prohibited. For specific requirements for reproduction, please see the end of the article. Machine Learning Online Training … Read more

Stanford CS231N Deep Learning and Computer Vision: Optimization and Stochastic Gradient Descent

Stanford CS231N Deep Learning and Computer Vision: Optimization and Stochastic Gradient Descent

This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. The Big Data Digest work is prohibited from being reproduced without authorization; specific requirements for reproduction can be found at the end of the article. Registration is open! Machine Learning training … Read more

Stanford CS231N Deep Learning and Computer Vision: Neural Network Training Insights

Stanford CS231N Deep Learning and Computer Vision: Neural Network Training Insights

This article is a translated version of the Stanford University CS231N course notes, authorized by Professor Andrej Karpathy of Stanford University. The Big Data Digest work is not allowed to be reproduced without authorization; specific requirements for reproduction can be found at the end of this article. Translation: Han Xiaoyang & Long Xincheng Editor’s Note: … Read more

Essential Computer Vision Techniques: Classification, Localization, Detection, and Segmentation

Essential Computer Vision Techniques: Classification, Localization, Detection, and Segmentation

New Intelligence Column Author: Zhang Hao [New Intelligence Guide] The author of this article comes from the Machine Learning and Data Mining Institute (LAMDA) of the Computer Science Department of Nanjing University. This article systematically summarizes the applications of deep learning in four fundamental tasks in the field of computer vision, including image classification, localization, … Read more

How to Make Computers Experts at Describing Images?

How to Make Computers Experts at Describing Images?

AliMei’s Guide: ICCV is regarded as one of the top three conferences in the field of computer vision. As one of the highest-level conferences in computer vision, its proceedings represent the latest development directions and levels in the field. Alibaba has multiple papers selected for this year’s conference, and the paper interpreted in this article … Read more

Overview of Eight Major Tasks in Computer Vision

Overview of Eight Major Tasks in Computer Vision

This article is reprinted from the PaddlePaddle WeChat official account Editor’s Note: Written by a deep learning engineer from Baidu, this article provides a detailed overview of the eight major tasks in the field of computer vision, including: image classification, object detection, image semantic segmentation, scene text recognition, image generation, human keypoint detection, video classification, … Read more

Exploring Computer Vision: Creating the Illusion

Exploring Computer Vision: Creating the Illusion

Author: Wei Xiucan, PhD student at the Institute of Machine Learning and Data Mining (LAMDA), Nanjing University. He has published academic papers in top international journals and conferences, and his “Must Know Tips in Deep Neural Networks” was invited for publication in the well-known data mining forums KDnuggets and Data Science Central. Selected from “Programmer,” … Read more