Written by丨Zhang Tianrong He is not the first person to endow neural networks with “memory,” but the long short-term memory network (LSTM) he invented has provided neural networks with longer and practically useful memory. LSTM has long been used by Google, Apple, Amazon, Facebook, etc., to implement functions such as speech recognition and translation. Today, … Read more
Author on Zhihu | master苏 Link | https://zhuanlan.zhihu.com/p/139617364 This article is approximately 3200 words, recommended reading 5 minutes This article introduces the visualization of the structure of LSTM models. I have recently been learning about the application of LSTM in time series prediction, but I encountered a significant issue: the structure of LSTM becomes very … Read more
Click <天津大学学报> to follow us Deng Bin, Zhang Nan, Wang Jiang, Ge Leijiao Tianjin University, School of Electrical Automation and Information Engineering, Tianjin 300072 1 Citation Format Deng Bin, Zhang Nan, Wang Jiang, et al. Medium- and Long-Term Power Load Forecasting Method Based on LTC-RNN Model [J]. Journal of Tianjin University (Science and Technology), 2022, … Read more
Author: Huang Chongyuan “Data Insect Nest” Total 23138 words Cover image ssyer.com “ In recommendation systems or computational advertising, ReRank blatantly disrupts the sequence generated by recall, coarse ranking, and fine ranking, yet claims to act in the greater interest. This is a very interesting phase of the algorithm, full of fun and, of course, … Read more
Introduction Graph neural networks (GNNs) have been widely applied to the modeling and representation learning of graph-structured data. However, mainstream research has been limited to handling static network data, while real complex networks often undergo structural and property evolution over time. The team led by Katarzyna at the University of Technology Sydney recently published a … Read more
Follow the official account “ML_NLP“ Set as “Starred“, delivering heavy content immediately! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/97378498 Author | Si Jie’s Portable Mattress Editor | Machine Learning Algorithms and Natural Language Processing Official Account This article is authorized by the author, secondary reproduction is prohibited Modules and functions needed: import torch import torch.nn as … Read more
Currently, there are applications based on Transformer in three major image problems:Classification (ViT), Detection (DETR) and Segmentation (SETR), all achieving good results. In the future, could Transformer possibly replace CNN? Will Transformer revolutionize the CV field just like its application in NLP? What might the research directions be? Please look forward to the next article … Read more
Li Dakang1 minute ago 1. The purpose of this library is to explore methods for NLP text classification using deep learning. 2. It has various benchmark models for text classification. 3. It also supports multi-label classification, where multiple labels are associated with sentences or documents. Although many of these models are quite simple and may … Read more
Editor’s Note The real-time monitoring of tool wear during machining is of significant importance for reducing equipment downtime and lowering costs caused by tool wear. Traditional tool wear monitoring methods based on signal processing and shallow learning models require manual extraction of lengthy features, which cannot achieve intelligent monitoring. To overcome this inherent limitation, deep … Read more
Abstract Artificial Intelligence (AI) has entered a new period of vigorous development. The driving forces behind this wave of AI are three major engines: Deep Learning (DL), Big Data, and Large-Scale Parallel Computing, with DL at the core. This article reviews the basic situation of the “revival of deep neural networks,” briefly introduces four commonly … Read more