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
Originally published by Data Practitioners The process of neural networks includes the updating of its weight matrix (Weight Matrix: WM). Once the network training is complete, the weight matrix will be permanently fixed, and its effectiveness is evaluated based on the network’s generalization results on the test data. However, many environments continue to evolve after … 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
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
Author: Siddharth M Translator: Wang Kehan Proofreader: Ouyang Jin This article is approximately 1300 words long and is recommended for a 6-minute read. This article teaches you how to use LSTM networks to predict stock price trends and visualize opening and closing prices. 1. Introduction Long Short-Term Memory (LSTM) is a model that can enhance … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered at the first time! Author: Tian Yu Su Zhihu: https://zhuanlan.zhihu.com/p/37978321 Editor: Wang Meng, City University of Macau (Deep Learning Go Go Go public account) This article is for academic sharing only. If there is any infringement, please contact the backend to delete the article. … Read more
In the previous article, we summarized RNNs (Recurrent Neural Networks). Due to the gradient vanishing problem in RNNs, it is challenging to handle long sequences of data. Experts have improved RNNs, resulting in a special case called LSTM (Long Short-Term Memory), which can avoid the gradient vanishing problem typical of conventional RNNs, thus gaining widespread … Read more
♚ Author: Yishui Hancheng, CSDN Blog Expert, Research Directions: Machine Learning, Deep Learning, NLP, CV Blog: http://yishuihancheng.blog.csdn.net This article mainly practices multivariate sequence prediction based on LSTM (Long Short-Term Memory) neural networks, completing the prediction, analysis, and visualization of data at specified future time steps, and teaches you step by step how to build your … Read more
Author: Jaime Zornoza, Technical University of Madrid Translation: Chen Zhiyan Proofreading: Wang Weili This article is approximately 3700 words, and it is recommended to read in 10+ minutes. This article will help you understand deep learning neural networks in a way never seen before, and build a Chatbot using NLP! Have you ever fantasized about … Read more