Essential NLP Interview Questions

Essential NLP Interview Questions

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Author: Pratik Bhavsar Translation: ronghuaiyang Introduction Frequently asked questions in NLP interviews. Practicing NLP is one thing, cracking interviews is another. Interviews for NLP positions are very different from general data science roles. In just a few years, these questions have completely … Read more

Practical NLP: Chinese Named Entity Recognition

Practical NLP: Chinese Named Entity Recognition

Follow the WeChat official account “ML_NLP“ Set as “Starred“, heavy content delivered in real-time! Original Link:https://blog.csdn.net/MaggicalQ/article/details/88980534 Introduction This project will use pytorch as the main tool to implement different models (including HMM, CRF, Bi-LSTM, Bi-LSTM+CRF) to solve the problem of Chinese named entity recognition. The article will not involve too much mathematical derivation but will … Read more

Sentiment Analysis Using TensorFlow

Sentiment Analysis Using TensorFlow

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

Top 10 Deep Learning Models

Top 10 Deep Learning Models

Approximately 10,000 words, recommended reading time: 15 minutes. This article shares the top 10 models in deep learning, which hold significant positions in terms of innovation, application value, and impact. Since the concept of deep learning was proposed in 2006, nearly 20 years have passed. Deep learning, as a revolution in the field of artificial … Read more

Insect Recognition System Based on CNN

Insect Recognition System Based on CNN

Project Background Insects, as a treasure trove of biological diversity, are facing multiple challenges such as a lack of understanding, a lack of conservation awareness, and excessive human activity. These factors have collectively led to adramatic decline in insect populations. This decline not only threatens the balance of ecosystems but also impacts humanity’s ability to … Read more

Practical Training in AI Python Machine Learning and Deep Learning

Practical Training in AI Python Machine Learning and Deep Learning

01 Training Overview Python has become one of the most popular programming languages: according to the latest TIOBE rankings, Python has surpassed C# and is now among the top four most popular languages globally, alongside Java, C, and C++. The simplicity, readability, and extensibility of Python, along with its numerous extension libraries, create a development … Read more

Trajectory Prediction of Intelligent Connected Vehicles Based on LSTM Deep Neural Networks

Trajectory Prediction of Intelligent Connected Vehicles Based on LSTM Deep Neural Networks

Click the blue text to follow us Note Please follow the “Nanyang Normal University Journal” WeChat public account to submit or download papers. “Nanyang Normal University Journal” Public Account Submission website: http://nysf.cbpt.cnki.net Phone: 0377—63525097 Image contribution: Lin Qingsong Welcome to submit!……

Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM

Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM

Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM Li Xin1,2,3, Wei Guanjun1,2,3, Zhang Delong1,2,3 1. College of Surveying and Geo-Informatics, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China; 2. National Local Joint Engineering Research Center for Geographic National Conditions Monitoring Technology Application, Lanzhou 730070, Gansu, China; 3. Gansu Provincial Geographic National … Read more

Quantitative Abnormality Diagnosis Method for Power Batteries Based on 1D CNN-LSTM

Quantitative Abnormality Diagnosis Method for Power Batteries Based on 1D CNN-LSTM

In the 2024 issue 7 of “Automobile Engineering”, the research results from the School of Mechanical and Automotive Engineering at South China University of Technology were published: “A Quantitative Diagnosis Method for Power Battery Faults Based on 1D CNN-LSTM Considering Cell Abnormalities”. The paper combines three types of features: the vehicle’s motion state, the drive … Read more

Improved LSTM-Based Stock Prediction Method

Improved LSTM-Based Stock Prediction Method Authors: Fang Hong¹ Han Xingyu² Xu Tao³ (1. Shanghai Second Polytechnic University, School of Humanities and Sciences 2. University College London, Department of Computer Science) Source: Journal of Anhui University (Natural Science Edition) 2019.43(6):36-42 Abstract In response to the common lag issue of Long Short-Term Memory (LSTM) networks in stock … Read more