Reference Article: https://www.jianshu.com/p/471d9bfbd72f Before understanding word2vec, we first need to grasp what One-Hot encoding is, as this simple encoding method is quite useful for handling enumerable features. Encoding One-Hot encoding, also known as single valid encoding, uses an N-bit state register to encode N states, where each state has its own independent register bit, and … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered first time! Overview of this article: 1. Background Knowledge Word2Vec is a type of language model that learns semantic knowledge from a large amount of text data in an unsupervised manner, and is widely used in natural language processing. Word2Vec is a tool for … Read more
In enterprise practice, multiple OpenShift clusters are often deployed: for development testing, production, etc. Each cluster is independent and isolated by physical resources. This approach is simple to manage and easy to understand but consumes more resources, as each cluster requires additional control and operational nodes. Is there a way to run different environments on … Read more
This article is from the public account Silicon Star PeoplePro (ID: Si-Planet) Google’s large language model Gemini 1.0 has amazed everyone since its launch. In terms of performance, whether it is understanding text, images, and audio, or reasoning about texts in 57 fields and mathematical problems, it almost surpasses the dominant model in the natural … Read more
How to Obtain 1. Follow the public account below, and click 【Like】 and 【View】 in this article 2. Click 【Get Course】 in the public account to obtain this material There is a course on Basics of Machine Learning: Machine Learning and Materials/Chemistry Basics of Machine Learning: Machine Learning and Materials/Chemistry 1. Introduction to Machine Learning … Read more
Click the blue text above to follow us TensorFlow: Essential Tool for Machine Learning Engineers Recently, while working on a deep learning project, I found TensorFlow to be an excellent tool. It is not only powerful but also very easy to use. Today, let’s discuss the basics of TensorFlow and see how it helps us … Read more
Getting Started with Comet for ML Experiments Hello everyone, I am an experienced Python tutorial author. Today we will learn how to use Comet to better organize and manage machine learning experiments. Comet is a fantastic tool that helps you track experiment parameters, metrics, model weights, etc., making your machine learning projects well-organized. Let’s get … Read more
▲Click above Leifeng Network to follow The Four Major Boundaries: Data Boundary, Semantic Boundary, Symbolic Boundary, and Causal Boundary Written by | Cong Mo Currently, deep learning in natural language processing has its limitations. So where are the boundaries of its effectiveness? This is a question we should ponder deeply. Recently, at the Fourth Language … Read more
This article is authorized to be reprinted from the WeChat public account Paper Weekly (ID: paperweekly). Paperweekly shares interesting papers in the field of natural language processing every week. Introduction Dialogue systems are currently a research hotspot and a focus for venture capital. Since the beginning of 2016, countless companies have been established that create … Read more
▲Click on the top Leifeng Network to follow Since 2012, the field of Natural Language Processing (NLP) has entered the era of neural networks for 7 years. Where is the future development heading? Let’s see how Dr. Zhou Ming, the chairman of ACL 2019 and vice president of Microsoft Research Asia, interprets it~ Written by … Read more