Introduction to Computer Vision: Basics of Deep Learning

Introduction to Computer Vision: Basics of Deep Learning

Click on the above “Beginner Learning Vision”, select “Star” or “Top” Important content delivered first time 1. Introduction With the rapid development of artificial intelligence, especially deep learning, computer vision has become a particularly popular research direction in recent years. Here, we will launch a brand new series 【Computer Vision Insights】 to share some of … Read more

The Ultimate Illustrated Guide to Micro Neural Networks – Multi-Layer Perceptron

The Ultimate Illustrated Guide to Micro Neural Networks - Multi-Layer Perceptron

Have you noticed that neural networks are everywhere? They appear in the news, in your phone, and even on your social media. But honestly, most of us don’t know how they work. Those fancy math and strange terms like “backpropagation”? In this article, we explore the Multi-Layer Perceptron (MLP) – the most basic type of … Read more

Summary and Code Implementation of Attention Mechanisms in Deep Learning (2017-2021)

Summary and Code Implementation of Attention Mechanisms in Deep Learning (2017-2021)

Machine Learning Algorithms and Natural Language Processing(ML-NLP) is one of the largest natural language processing communities both domestically and internationally, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and enthusiasts … Read more

Summary and Implementation of Attention Mechanisms in Deep Learning (2017-2021)

Summary and Implementation of Attention Mechanisms in Deep Learning (2017-2021)

↑ ClickBlue Text Follow the Jishi Platform Author丨mayiwei1998 Source丨GiantPandaCV Reprinted from丨Jishi Platform Abstract Due to the network structures in many papers being typically embedded within code frameworks, the code tends to be quite redundant. The author of this article has organized and reproduced the core code based on Attention networks from recent years. Author Information: … Read more

Revolutionary NeRF Technology: A Potential Successor to Deepfake?

Revolutionary NeRF Technology: A Potential Successor to Deepfake?

Reported by Xinjiyuan Editor: Joey Ruyuan [Xinjiyuan Guide] The most talked-about NeRF is expected to replace Deepfake as the next-generation visual tool. Let’s see how powerful it really is. What, you don’t know NeRF? As the hottest AI technology in the field of computer vision this year, NeRF is widely applicable and has a promising … Read more

The Battle of Three Neural Network Structures: CNN, Transformer, and MLP

The Battle of Three Neural Network Structures: CNN, Transformer, and MLP

Click belowCard, follow the “CVer” public account AI/CV heavy content, delivered first-hand Author丨happy Reprinted from丨Extreme City Platform Introduction University of Science and Technology of China & MSRA analyzed the characteristics of three major neural network architectures, comparing CNN, Transformer, and MLP by constructing a unified architecture called SPACH, concluding that multi-stage models are always superior … Read more