Follow us on WeChat “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from | High Energy AI This article summarizes the Attention mechanism in Natural Language Processing (NLP) in a Q&A format and provides an in-depth analysis of the Transformer. Table of Contents 1. Analysis of Attention Mechanism 1. Why introduce the … Read more
Source: Huang Yu Zhihu This article is about 3600 words long, and it is recommended to read it in 10 minutes. This article introduces the review paper "Efficient Transformers: A Survey" published by Google in September last year, which states that in the field of NLP, transformers have successfully replaced RNNs (LSTM/GRU), and applications have … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities at home and abroad, gathering over 500,000 subscribers, covering NLP master’s and PhD students, university teachers, and industry researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and researchers from companies. The vision of the community is to promote the exchange between the academic and industrial circles of natural language processing and machine learning, … Read more
Reprinted from Quantum Bit Xiao Xiao from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI What are the differences between Longformer, a model capable of efficiently processing long texts, and BigBird, which is considered an “upgraded version” of the Transformer model? What do the various other variants of the Transformer model (X-former) look like, … Read more
Author: Pranoy Radhakrishnan Translator: wwl Proofreader: Wang Kehan This article is about 3000 words and is recommended to be read in 10 minutes. This article discusses the application of Transformer models in the field of computer vision and compares them with CNNs. Before understanding Transformers, consider why researchers are interested in studying Transformers when there … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! ❝ Author: Xiao Mo From: Aze’s Learning Notes ❞ 1. Introduction This blog mainly contains my “encounters, thoughts, and solutions” while learning about Transformers, using a “16-shot” approach to help everyone better understand the issues. 2. Sixteen Shots Why do we … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for the improvement of beginners. … Read more
Today, let’s talk about Transformers. To make it easy for everyone to understand, we will explain it in simple language. If you need, feel free to click the “Click to Copy” below to receive it for free! Transformer Transformers can be described as a type of super brain designed to process sequential data, such as … Read more
Click on the top “Beginner’s Guide to Computer Vision“, choose to add “Star” or “Pin“ Important information delivered promptly Author: Chen Andong, Minzu University of China, Datawhale Member The Transformer has shone brightly in recent years, achieving remarkable results across various fields. What exactly does it do, and what secrets lie behind the frequently asked … Read more