Source: DeepHub IMBA This article is about 3000 words long and is recommended to read in 6 minutes. With the latest advancements in NLP (Natural Language Processing), OpenAI's GPT-3 has become one of the most powerful language models on the market. On January 25, 2022, OpenAI announced an embedding endpoint (Neelakantan et al., 2022). This … Read more
Summary of Word2vec References First, let me briefly describe my deep dive into Word2vec: as per usual, I started by reading Mikolov’s two original papers on Word2vec, but I found myself still confused after finishing them. The main reason is that these two papers omitted too much theoretical background and derivation details. I then dug … Read more
Source: Poll’s Notes Original URL:http://www.cnblogs.com/maybe2030/ Reading Directory 1. Word Vectors 2. Distributed Representation of Word Vectors 3. Word Vector Models 4. Word2Vec Algorithm Concepts 5. Doc2Vec Algorithm Concepts 6. References Deep learning has opened a new chapter in machine learning, and significant breakthroughs have been made in applying deep learning to images and speech. Deep … Read more
When it comes to word vector models, many people’s first reaction is word2vec. In fact, the family of word vectors has many interesting members that differ in style from word2vec. At the same time, there are many improvements on top of word2vec. Here, I will briefly take you through these interesting word vector models in … Read more
Hello everyone, I am Hua Ge. This article summarizes the stunning ideas, algorithms, and papers in deep learning. Stunning Ideas Attention Mechanism The core idea of the attention mechanism is to allow the model to allocate different attention weights based on the importance of the data while processing it. This mechanism enables the model to … Read more
1 Let A, B, C, D represent four different Chinese words. After calculating with word2vec, we obtain the following word vectors: A=[-1,0.5,0.75] B=[1,-0.5,-0.75] C=[-0.25,-2,1] D=[-0.24,-2.1,0.99] If A represents the word “excellent” and C represents “celebrate,” what words might B and D represent respectively? Why? Reference Answer: It is relatively easy to deduce that D is … Read more
Author: Emmanuel Ameisen Source: Machine Heart This article is approximately 5000 words long and is recommended to read in 9 minutes. This article explains how to process natural language in the field of artificial intelligence. Natural Language Processing (NLP) is one of the two most important directions in the field of artificial intelligence, just like … Read more
Author丨Tian Yu Su Zhihu Column丨Machine Learning Link丨https://zhuanlan.zhihu.com/p/27296712 Introduction The second practical code is updated. The previous column introduced the Skip-Gram model in Word2Vec. If you have read it, you can directly start implementing your own Word2Vec model using TensorFlow. This article will use TensorFlow to complete the Skip-Gram model. If you are not familiar with … Read more
Follow the WeChat official account “ML_NLP” Set as “Starred”, important content delivered to you first! ❝ I’ve been looking at the source code of word2vec these days and found that its loss function is not multi-class cross-entropy but NCE. So I checked some information and found this blog post, sharing it here. ❞ First, let’s … Read more
Follow our public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/31096913 Author | Datartisan Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the background for deletion. This article will … Read more