What Is Artificial Neural Network?

What Is Artificial Neural Network?

Welcome to the special winter vacation premium column “High-Tech Lessons for Kids” launched by Science Popularization China! Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full of … Read more

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

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

Follow the official account "ML-CVer" Set as "Star", DLCV messages will be delivered! Author丨mayiwei1998 Source丨GiantPandaCV Editor丨极市平台 Abstract Due to the network structures in many papers being embedded into code frameworks, the code tends to be redundant. The author of this article has organized and reproduced the core code based on Attention networks from recent years. … Read more

Attention Mechanism in Recommendation Systems

Attention Mechanism in Recommendation Systems

Produced by NewBeeNLP Author: @Uesugi Shoji Leisure Meeting · Information Retrieval When the attention mechanism has become a rather tasteless technique, using or modifying the attention mechanism must focus on telling a good story: that is, ‘Why use Attention, and why modify Attention.’ Currently, from traditional CF, FM methods to NFM, DeepFM, although deep learning … Read more

Understanding Attention Mechanism and Its Implementation in PyTorch

Understanding Attention Mechanism and Its Implementation in PyTorch

Click on the above “Beginner’s Guide to Vision” to choose to add “Star” or “Pin“ Important content delivered to you first Source | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Understanding Attention Mechanism and Its Implementation in PyTorch Biologically Inspired Attention Model -> Resource Allocation The attention mechanism in deep learning is a biomimetic of … Read more

In-Depth Understanding of Attention Mechanism in CV

In-Depth Understanding of Attention Mechanism in CV

All Fans Say: “Why Didn’t You Follow Me Sooner!” Hello everyone, I am Canshi. In the field of deep learning, there are many technical terms that can be confusing when first encountered. As you read more, you gradually get the hang of it, but it still feels somewhat lacking. Today, we will discuss a technical … Read more

Understanding Attention Mechanism and Its Implementation in PyTorch

Understanding Attention Mechanism and Its Implementation in PyTorch

Click the blue text aboveComputer Vision Alliance to get more valuable content Set as favorite in the upper right corner ··· and we won’t miss each other This is for academic sharing only and does not represent the stance of this public account. Contact for removal in case of infringement Reprinted from: Author: Lucas Address: … Read more

Understanding Attention Mechanisms in Computer Vision

Understanding Attention Mechanisms in Computer Vision

This article introduces the mechanism of visual attention in computer vision. To broaden the audience and enhance readability, a progressive writing style is adopted. The entirety of Part 1 and most of Part 2 are free of professional barriers, while the subsequent sections delve deeper into the attention mechanism in computer vision. 1 Introduction Attention … Read more

Overview of Attention Mechanism Research

Overview of Attention Mechanism Research

If you like it, please follow CV Circle ! The attention mechanism has become very popular in recent years. So, what are the origins and current developments of the attention mechanism? Let’s follow the author, Mr. Haohao, and take a look. Author of this article: Mr. Haohao, authorized for reprint Link: https://zhuanlan.zhihu.com/p/361893386 1 Background Knowledge … Read more

Attention Mechanism in Machine Translation

Attention Mechanism in Machine Translation

In the previous article, we learned about the basic seq2seq model, which processes the input sequence through an encoder, passes the calculated hidden state to a decoder, and then decodes it to obtain the output sequence. The block diagram is shown again below: The basic seq2seq model is quite effective for short and medium-length sentences … Read more

Understanding Attention Mechanisms in Depth

Understanding Attention Mechanisms in Depth

Recently, I plan to organize the application of Attention in deep recommendation systems, so I wrote this introductory article about Attention. Since it was proposed in the 2015 ICLR paper “Neural machine translation by jointly learning to align and translate”, Attention has flourished in the fields of NLP and computer vision. What is so special … Read more