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Hi everyone! Today, I will introduce an amazing machine learning model – the Transformer. Many people are familiar with the Transformer, but some may be a bit unclear, so let’s discuss it today~ Basic Principles The Transformer is a neural network model that uses the attention mechanism to effectively handle sequential data, such as sentences … Read more
Source: Machine Heart This article is about 4500 words long and is recommended to be read in 5 minutes. What can a 13-layer Transformer do? It can simulate a basic calculator, a basic linear algebra library, and execute an in-context learning algorithm using backpropagation. Transformers have become a popular choice for various machine learning tasks, … Read more
Click on the above “Beginner Learning Visuals” to select “Add Star” or “Pin” Heavyweight content delivered first-hand Source | AI Technology Review Translated by | bluemin Proofread by | Chen Caixian The Transformer architecture has become a popular research topic in the field of machine learning (especially in NLP), bringing us many important achievements, such … 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
Originally from AI有道 Seven years ago, the paper “Attention is All You Need” introduced the transformer architecture, revolutionizing the entire field of deep learning. Today, all major models are based on the transformer architecture, yet the internal workings of the transformer remain a mystery. Last year, one of the authors of the transformer paper, Llion … Read more
Click the above“Beginner’s Guide to Vision” to choose star mark or pin. Important content delivered promptly This article is reproduced from:Machine Heart | Contributors: Yiming, Du Wei, Jamin Author:Chaitanya Joshi What is the relationship between Transformers and GNNs? It may not be obvious at first. However, through this article, you will view the architecture of … Read more
Author: Chen Zhi Yan This article is approximately 3500 words long and is recommended for a 7-minute read. The Transformer is the first model that completely relies on the self-attention mechanism to compute its input and output representations. The mainstream sequence-to-sequence models are based on encoder-decoder recurrent or convolutional neural networks. The introduction of the … Read more
Author: Alexander Rush Source: Harbin Institute of Technology SCIR, Editor: Jishi Platform Below, we share a detailed blog post about Transformers from Harvard University, translated by our lab. The Transformer network structure proposed in the paper “Attention is All You Need” has recently attracted a lot of attention. The Transformer not only significantly improves translation … Read more
Click on the above “Beginner Learning Vision” to choose to add a Star or “Top” Important content delivered promptly Almost all natural language processing tasks, from language modeling and masked word prediction to translation and question answering, have undergone revolutionary changes since the Transformer architecture first appeared in 2017. The Transformer also performs excellently in … Read more
Hello everyone~ Today, let’s talk about the Transformer ~ First, I’ll describe it in very simple terms to ensure that beginners can understand. Transformer is a “super brain” that can process sequential data such as sentences, lyrics, and articles. It excels at these tasks because it can remember and understand how each word in a … Read more