Word embeddings represent a word with a numerical vector, which is different from the IDs used in Tokenization. Word embedding vectors carry more semantic information. This article will illustrate Word2Vec: a method for word embeddings. This series also includes illustrations of Tokenization, Transformer, GPT2, and BERT. If you want to learn about Tokenization, please see … Read more
Author: Li Xuedong Editor: Li Xuedong Introduction: Nowadays, deep learning is all the rage. Deep learning has made significant progress in the field of image processing. With the release of Word2Vec by Google, deep learning has also sparked a frenzy in the field of Natural Language Processing (NLP). As I am currently working on … Read more
Machine Learning Algorithms and Natural Language Processing Recommendations Source: https://zhuanlan.zhihu.com/p/58425003 Author: Xiao Chuan Ryan [Introduction to Machine Learning Algorithms and Natural Language Processing]BERT did not come out of nowhere; this article introduces some thoughts on how to derive it from Word2Vec! Recently, my work has been closely related to pre-trained models, but I found that … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from: Machine Learning Beginner 0. Introduction Word embeddings refer to a set of language models and representation learning techniques in Natural Language Processing (NLP). Conceptually, it involves embedding a high-dimensional space of the number of words into a much lower-dimensional … Read more
Author丨Tian Yu Su Zhihu Column丨Machine Learning Link丨https://zhuanlan.zhihu.com/p/27234078 1. Introduction This sharing mainly focuses on the translation, understanding, and integration of two English documents on the Word2Vec model, both of which introduce the Skip-Gram model in Word2Vec. The next column article will implement the basic version of the Word2Vec Skip-Gram model using TensorFlow, so this article … Read more
Author: Tian Yu Su Zhihu Column: Machine Learning Link: https://zhuanlan.zhihu.com/p/27234078 Before We Start The column has finally been approved, but I am currently applying for a name change, which may take a few days for review.In the future, I will periodically update the column with some content on machine learning and deep learning, mainly including … Read more
1. Introduction Hello everyone! After the Lantern Festival and the New Year, let’s embrace the new year with vigor! A few days ago, while browsing Xiaohongshu, I came across a post titled: Useful! Treasure WeChat Public Accounts in the Field of Information Science. I took a closer look and saw our Information Science Charging Station. … Read more
Source | Zhihu Author | TianMin Link丨https://zhuanlan.zhihu.com/p/85998950 Editor | Deep Learning Matters WeChat Official Account This article is for academic exchange only. If there is any infringement, please contact for removal. [Introduction] Word2Vec is a widely used word embedding method. Due to recent research needs, I studied the algorithm model. Since there is a lot … Read more
Author: Guo Bi Yang This article mainly summarizes the computational and programming problems from cs224n’s assignment 2. I found this assignment design to be excellent, progressing step by step, with both theory and practice, and a moderate level of difficulty. The overall structure feels more like a detailed tutorial. Therefore, I will review and reflect … Read more
Reading time: approximately 5 minutes Follow the little blogger and improve a bit every day Author: gan Link: https://zhuanlan.zhihu.com/p/36312907 Background Introduction and Some Intuitive Understandings Word2Vec is a word vector model proposed by Google in 2012, which includes two models, Continuous Bag of Words (CBOW) and Skip Gram. The two models build word prediction models … Read more