Machine Learning

Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch

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Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch

Click the “MLNLP” above to select the “Star” public account Heavyweight content delivered first-hand From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/85995376 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding RNN: Recurrent Neural Networks and Their Implementation in PyTorch Recurrent Neural Networks (RNN) are a … Read more

Exploring Parallel Computation in Non-Linear RNNs

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Exploring Parallel Computation in Non-Linear RNNs

©PaperWeekly Original · Author | Su Jianlin Affiliation | Scientific Space Research Direction | NLP, Neural Networks In recent years, linear RNNs have attracted some researchers’ attention due to their characteristics such as parallel training and constant inference costs (for example, my previous article titled “Google’s New Work Attempts to ‘Revive’ RNN: Can RNN Shine … Read more

Cracking Morse Code Using RNNs

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Cracking Morse Code Using RNNs

Author | Sandeep Bhupatiraju Translator | Liu Zhiyong Editor | Debra Chen AI Frontline Overview: Over a century ago, in the United States, people used Morse code to send the first telegram in human history, opening a new chapter for mankind. The advent of Morse code has had a profound and far-reaching impact on human … Read more

Introduction to Recurrent Neural Networks (RNN): Vector to Sequence, Sequence to Sequence, Bidirectional RNN, Markovization

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Introduction to Recurrent Neural Networks (RNN): Vector to Sequence, Sequence to Sequence, Bidirectional RNN, Markovization

Author: David 9 Address: http://nooverfit.com/ RNN seems to be better at information preservation and updating, while CNN seems to excel at precise feature extraction; RNN has flexible input and output dimensions, while CNN dimensions are relatively rigid. 1Question When talking about Recurrent Neural Networks, our first reaction might be: time sequence. Indeed, RNNs are good … Read more

A Detailed Explanation of RNN Stock Prediction (Python Code)

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A Detailed Explanation of RNN Stock Prediction (Python Code)

Recurrent Neural Networks (RNN) are designed based on the recursive nature of sequential data (such as language, speech, and time series) and are a type of feedback neural network that contains loops and self-repetitions, hence the name “recurrent”. They are specifically used to handle sequential data, such as generating text word by word or predicting … Read more

Combining CNNs and RNNs: Genius or Madness?

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Combining CNNs and RNNs: Genius or Madness?

Author | Bill Vorhies Translator | Gai Lei Editor | Vincent AI Frontline Overview: From some interesting use cases, it seems we can completely combine CNN and RNN/LSTM. Many researchers are currently working on this research. However, the latest research trends in CNN may render this idea outdated. For more quality content, please follow the … Read more

Attention Models: The Future Beyond RNN and LSTM

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Attention Models: The Future Beyond RNN and LSTM

Big Data Digest Works Compiled by: Wan Jun, Da Jie Qiong, Qian Tian Pei Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) networks, which have been incredibly popular, it’s time to abandon them! LSTM and RNN were invented in the 1980s and 1990s, resurrected in 2014. In the following years, they became the go-to … Read more

Understanding RNN (Recurrent Neural Networks)

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Understanding RNN (Recurrent Neural Networks)

0. Introduction After reading many blog posts and tutorials about RNN online, I felt they were all the same, providing a vague understanding but failing to explain it clearly. RNN is the foundation of many complex models, and even in transformers, you can see the influence of RNN, so it is essential to have a … Read more

Enhancing RNN with Adaptive Computation Time for Multi-Factor Stock Selection

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Enhancing RNN with Adaptive Computation Time for Multi-Factor Stock Selection

Editorial Department WeChat Official Account KeywordsSearch across the webLatest Ranking 『Quantitative Investment』: Ranked First 『Quantitative』: Ranked First 『Machine Learning』: Ranked Third We will continue to work hard To become a qualityfinancial and technical public account across the web Today we will read an article from Guosen Securities Research Introduction to RNN The biggest feature that … Read more

Progress on Neural Network Canonical Transformations

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Progress on Neural Network Canonical Transformations

Canonical transformations are classical methods used by physicists, mechanical engineers, and astronomers to handle Hamiltonian systems. By finding suitable variable substitutions, canonical transformations can simplify, or even completely solve the dynamics of Hamiltonian systems. For instance, in the 19th century, French scientist Charles Delaunay published approximately 1800 pages of analytical derivations attempting to simplify the … Read more