Nested LSTM: A Novel LSTM Extension for Long-Term Information Processing

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Nested LSTM: A Novel LSTM Extension for Long-Term Information Processing

Selected from arXiv Author:Vihar Kurama Translated by Machine Heart Contributors: Liu Xiaokun, Li Yazhou Recently, CMU and the University of Montreal proposed a novel multi-level memory RNN architecture—Nested LSTM. When accessing internal memory, Nested LSTM has greater flexibility compared to traditional Stacked LSTM, allowing it to handle longer temporal scales of internal memory; experiments also … Read more

The Evolution of Modern AI and Deep Learning

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The Evolution of Modern AI and Deep Learning

Click the card below to follow the “CVer” WeChat public account AI/CV heavy content delivered instantly Click to join —> the CV WeChat technical exchange group Reprinted from: New Intelligence | Edited by: Xinpeng Hao Kun [Guide] Recently, Jürgen Schmidhuber, the father of LSTM, reviewed the history of artificial intelligence since the 17th century. In … Read more

Understanding LSTM Followed by CRF

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Understanding LSTM Followed by CRF

Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Address | https://www.zhihu.com/question/62399257/answer/241969722 Author | Scofield Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is an infringement, please contact us to delete the article. To put … Read more

A Beginner’s Guide to Implementing LSTM

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A Beginner's Guide to Implementing LSTM

【Introduction】Time series modeling is widely used in machine translation, speech recognition, and other related fields, making it an essential technology in the AI domain. This article will teach you how to build a Long Short-Term Memory network (LSTM) from scratch, using Bitcoin price prediction as an example. Author | Brian Mwangi Translated by | Zhuanzhi … Read more

Essential Guide to LSTM: From Basics to Functionality Explained

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Essential Guide to LSTM: From Basics to Functionality Explained

Selected from echen Translated by Machine Heart Contributors: Machine Heart Editorial Team Long Short-Term Memory (LSTM) is a crucial neural network technology that has been widely applied in many fields, including speech recognition and natural language processing. In this article, Edwin Chen provides a systematic introduction to LSTM. Machine Heart has translated this article. The … Read more

Exploring LSTM Networks in Stock Markets

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Exploring LSTM Networks in Stock Markets

Editorial Department WeChat Official Account Keywords All Network Search Latest Ranking “Quantitative Investment”: Rank One “Quantization”: Rank One “Machine Learning”: Rank Four We will continue to strive To become a high-qualityFinancial and Technical public account Introduction to LSTM Networks LSTM Networks are a type of Recurrent Neural Network (RNN) first introduced by Sepp Hochreiter and … Read more

Why LSTM is So Effective?

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Why LSTM is So Effective?

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! From | Zhihu Author | Tian Yu Su https://www.zhihu.com/question/278825804/answer/402634502 Editor | Deep Learning This Small Matter Public Account This article is for academic exchange only. If there is any infringement, please contact the background for deletion. I have done some similar work, let … Read more

Understanding LSTM Networks and Their Applications

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Understanding LSTM Networks and Their Applications

Previously, I introduced Recurrent Neural Networks (RNNs), which are fascinating because they can effectively utilize historical information. For instance, using the previous video frame to infer the current video content. In earlier articles, we also discussed that traditional RNNs cannot learn connections that are too far apart in time. Sometimes, we only need the previous … Read more

Exploring LSTM: From Basic Concepts to Internal Structures

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Exploring LSTM: From Basic Concepts to Internal Structures

Compiled and Organized by Annie Ruo Po | QbitAI WeChat Official Account Author Bio: Edwin Chen, researching mathematics/linguistics at MIT, speech recognition at Microsoft Research, quantitative trading at Clarium, advertising at Twitter, and machine learning at Google. In this article, the author first introduces the basic concepts of neural networks, RNNs, and LSTMs, then compares … Read more

BP Neural Network Algorithm and Practice

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BP Neural Network Algorithm and Practice

(Click the public account above to follow quickly) Source: CodeMeals cnblogs.com/fengfenggirl/p/bp_network.html If you have good articles to submit, please click → here for details Neural networks were once very popular, went through a period of decline, and are now gaining popularity again due to deep learning. There are many types of neural networks: feedforward networks, … Read more