In-Depth Explanation of Deep Learning

In-Depth Explanation of Deep Learning

Artificial intelligence, like immortality and interstellar travel, is one of humanity’s greatest dreams. Although computer technology has made significant progress, no computer has yet been able to produce a “self” awareness. However, since 2006, the field of machine learning has made groundbreaking advancements. The Turing test is at least not as unreachable as it once … Read more

A Must-Read Classic Paper on Deep Learning

A Must-Read Classic Paper on Deep Learning

This article is about 3200 words long and is recommended for a 6-minute read. This paper is co-authored by three top experts – "Deep Learning". This is a must-read paper for anyone learning deep learning, co-authored by the father of convolutional neural networks, Yann Le Cun, Yoshua Bengio, and the leading figure in deep learning, … Read more

Understanding Common Machine Learning Models

Understanding Common Machine Learning Models

Click on the above“Beginner Learning Vision” to select “Star” or “Pin” Important content delivered at the first time Linear Models Linear models are the simplest and most basic machine learning models. Their mathematical form is as follows: g(x;w)=. Sometimes, we also add a bias term b on top of, but as long as we expand … Read more

Four Fundamental Tasks of Computer Vision

Four Fundamental Tasks of Computer Vision

Click on the above “Beginner’s Guide to Vision“, choose to add “Star” or “Top“ Important content delivered at the first time Reprinted from: Author | Zhang Hao Source | Zhihu(https://zhuanlan.zhihu.com/p/31727402) Introduction:Deep learning has become one of the fastest-growing and most exciting fields of machine learning. Many significant papers have been published, and there are many … Read more

Can Computers See? Understanding Computer Vision

Can Computers See? Understanding Computer Vision

1. The Birth of Vision Life on Earth experienced little change for billions of years after its emergence. They lay “flat” on the ocean floor, unable to move independently or hunt for food. It wasn’t until about 500 million years ago that evolution suddenly exploded, and in just a few tens of millions of years, … Read more

EEG Visual Classification Algorithm Based on Improved StackCNN Network

EEG Visual Classification Algorithm Based on Improved StackCNN Network and Ensemble Learning Yang Qing1,2,3, Wang Yaqun1,2,3, Wen Dou1,2,3, Wang Ying1,2,3, Wang Xiangyu1,2,3 1. Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University; 2. School of Computer Science, Central China Normal University; 3. National Language Resources Monitoring and Research Network Media Center, Central … Read more

Understanding Convolutional Networks with PyTorch

Understanding Convolutional Networks with PyTorch

In today's era, machines have successfully achieved 99% accuracy in understanding and recognizing features and objects in images. We see this every day – smartphones can recognize faces in the camera; the ability to search for specific photos using Google Image Search; scanning text from barcodes or books. All of this is made possible by … Read more

Fundamentals of Convolutional Neural Networks

Fundamentals of Convolutional Neural Networks

The Ancient and Modern Medical Case Cloud Platform Providing over 400,000 ancient and modern medical case retrieval services Supports manual, voice, OCR, and batch structured entry of medical cases Designed with nine major analysis modules, closely aligned with clinical needs Supports collaborative analysis of massive medical cases and personal cases on the platform Cloud Medical … Read more

A Brief History of Neural Networks: A Breakthrough After BP Algorithm – Belief Networks

A Brief History of Neural Networks: A Breakthrough After BP Algorithm - Belief Networks

Click the blue text above to follow ↑↑↑↑↑ Author: Andrey Kurenkov As the puzzle of training multi-layer neural networks is unraveled, this topic has once again become extraordinarily popular, and Rosenblatt’s lofty ambitions seem to be realized. Until 1989, another key discovery was published, which is still widely cited in textbooks and major lectures. Multi-layer … Read more

In-Depth Exploration of Deep Learning, Neural Networks, and Convolutional Neural Networks and Their Applications

In-Depth Exploration of Deep Learning, Neural Networks, and Convolutional Neural Networks and Their Applications

Source: Machine Vision Knowledge Recommender This article is approximately 11,000 words long and is recommended for a reading time of 10+ minutes. This article will introduce deep learning technology, neural networks, convolutional neural networks, and their applications in related fields. In today’s internet era, the intricate big data and network environment pose significant challenges to … Read more