5 Key Advantages of Deep Learning in Natural Language Processing

5 Key Advantages of Deep Learning in Natural Language Processing

1Compiled by New Intelligence Source: machinelearningmastery.com Author: Jason Brownlee Compiled by: Zhu Huan [New Intelligence Overview] In the field of Natural Language Processing (NLP), the promise of deep learning is: to bring better performance to new models that may require more data but no longer need as much linguistic expertise. In the field of NLP, … Read more

Neural Network Transfer Learning for Natural Language Processing

Neural Network Transfer Learning for Natural Language Processing

Recommended by New Intelligence Yuan Source: Zhuangzhi (ID: Quan_Zhuanzhi) [New Intelligence Yuan Guide] In reality, natural language processing faces various types of tasks across multiple domains and languages, making it impractical to label data for each task individually. Transfer learning allows for the transfer of learned knowledge to related scenarios. This article introduces Dr. Sebastian … Read more

An Overview of NLP from Linguistics to Deep Learning

An Overview of NLP from Linguistics to Deep Learning

Selected from arXiv Compiled by Machine Heart Contributors: Li Yazhou, Jiang Siyuan This article starts with two papers to briefly introduce the basic classifications and concepts of Natural Language Processing (NLP), and then showcases NLP in deep learning to the readers. Both papers are excellent introductory reviews, and readers who wish to delve deeper into … Read more

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

DeepFake Detection: A Simple Two-Step Algorithm

DeepFake Detection: A Simple Two-Step Algorithm

Reported by New Intelligence Source: IEEE Spectrum Editor: Jin Lei 【New Intelligence Overview】DeepFake has recently become a hot topic, raising numerous concerns. In response to the potential negative impacts of DeepFake, researchers have developed a magical tool based on neural networks that can identify the authenticity of DeepFake images. The nemesis of DeepFake is here! … 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: 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