Click on the above “Beginner’s Guide to Visual Learning” to choose to add “Star” or “Top” Heavyweight content delivered at the first time Editor | Anke Produced by | Panchuang AI Technology Team Table of Contents: Introduction to Gated Recurrent Neural Networks Long Short-Term Memory Networks (LSTM) Gated Recurrent Units (GRU) Implementing LSTM and GRU … Read more
Click on the above “Visual Learning for Beginners“, select to add to favorites or pin. Important content delivered in real-time 1. What is LSTM LSTM stands for Long Short-Term Memory, a type of recurrent neural network (RNN) that can handle sequential data and is widely used in fields such as natural language processing and speech … Read more
Long Short-Term Memory networks (LSTM), as an improved version of Recurrent Neural Networks (RNN), not only solve the problem of RNNs being unable to handle long-distance dependencies but also address common issues in neural networks such as gradient explosion or gradient vanishing, making them very effective in processing sequential data. What are the fundamental reasons … Read more
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
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
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
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
Column ❈ Author: yonggege, author of Python Chinese community column GitHub Address: https://github.com/wzyonggege ❈ 0. char-rnn There are already many introductions about RNN, LSTM, and GRU. The char-rnn is a multi-layer RNN network. This time, we will use the Tensorflow version of sherjilozair/char-rnn-tensorflow to input a large number of ancient poems and let the machine … Read more
This article briefly introduces the main work of the paper accepted in April 2019 by Pattern Recognition titled “Recognizing Online Handwritten Chinese Characters Using RNNs with New Computing Architectures”. This paper mainly addresses the end-to-end recognition problem of handwritten Chinese characters. 1. Research Background Handwritten input is a very common human-computer interaction method. With the … Read more
This article will introduce the use of a simple RNN model for time series prediction. For example, we currently have a segment of a sine curve as shown in the figure below. We will input the red part and train the model to output the next segment’s values. First, let’s analyze it. Assuming we input … Read more