Summary of Word2vec Reference Materials Let me briefly describe my deep dive into Word2vec: I first looked at Mikolov’s two original papers on Word2vec, but found myself still confused after reading them. The main reason is that these papers omit too much theoretical background and derivation details. I then revisited Bengio’s 2003 JMLR paper and … Read more
Source | Wujie Community Mixlab Editor | An Ke 【PanChuang AI Introduction】: Recently, everyone has been flooded with the popular Qing Dynasty drama “Story of Yanxi Palace”~ The male lead, Emperor Qianlong, is often referred to as a “big pig’s hoof” by everyone because he falls in love with every woman he meets. As simple … Read more
I’ve been looking at word2vec for a long time, but I’ve found many different versions of explanations. Moreover, the original paper does not mention many details, so I plan to look at the source code directly. On one hand, it can deepen my understanding; on the other hand, I can make appropriate improvements in the … Read more
Natural Language Processing Author: Zhang Junlin Source: Deep Learning Frontier Notes Zhihu Column Original Link: https://zhuanlan.zhihu.com/p/49271699 The theme of this article is the pre-training process in natural language processing (NLP). It will roughly explain how pre-training techniques in NLP have gradually developed into the BERT model, naturally illustrating how the ideas behind BERT were formed, … 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
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