Machine Learning

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

The Rise and Fall of Neural Networks in AI

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The Rise and Fall of Neural Networks in AI

5.4 The Intellectual The Intellectual Image Source: Freepik ● 　● 　● Written by｜Zhang Tianrong As physicist and Manhattan Project leader Oppenheimer said, “We are not just scientists; we are also human.” Where there are humans, there is a community, and the scientific world is no exception. People often say that “science knows no borders, but … Read more

Weight Agnostic Neural Networks: A Revolutionary Approach

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Weight Agnostic Neural Networks: A Revolutionary Approach

Machine Heart reported Machine Heart Editorial Department Can neural networks complete various tasks without learning weights? Are the image features learned by CNN just what we think they are? Are neural networks merely combinations of functions with no other meaning? From this paper, the answers to these questions seem to be affirmative. Yesterday, a paper … Read more

Do Neural Networks Dream of Electric Sheep? Pattern Matching Reveals Fatal Flaws

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Do Neural Networks Dream of Electric Sheep? Pattern Matching Reveals Fatal Flaws

Report by New Intelligence Source: aiweirdness, gizmodo Translated by: Xiao Qin [New Intelligence Overview]One of the specialties of neural networks is image recognition. Tech giants like Google, Microsoft, IBM, and Facebook all have their own photo tagging algorithms. However, even the top image recognition algorithms can make very strange mistakes, they only see what they … Read more

How to Deceive Neural Networks to Recognize Pandas as Vultures

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How to Deceive Neural Networks to Recognize Pandas as Vultures

Authorized Reprint from CSDN Source: codewords.recurse.com Translator: Liu Diwei, Reviewer: Liu Xiangyu, Editor: Zhong Ha Website: http://www.csdn.net Abstract: This article is based on the author’s reading of papers and practical tests, attempting to deceive neural networks. It gradually analyzes neural networks and the mathematical principles behind them, from tool installation to model training. The article … Read more

The Magical Recursive Neural Network That Mimics Han Han’s Writing

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The Magical Recursive Neural Network That Mimics Han Han's Writing

Big Data Digest works, reposting requires authorization Author| Han Xiaoyang && Long Xincheng Thanks| Owen for translating and providing part of the content from Recurrent Neural Networks Tutorial part 1 Source|http://blog.csdn.net/han_xiaoyang/article/details/51253274 Big Data Digest’s “Machine Learning” column is established! We welcome everyone to leave valuable comments and submit articles to us. How to join us? … Read more

8 AI Technologies Beyond Neural Networks

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8 AI Technologies Beyond Neural Networks

Big Data Digest Works Compiled by: Fu Yiyang, Ding Hui, Aileen In the wave of AI, the loudest voices are about neural networks. However, AI is much more than that. Currently, the most funding in the AI technology field is being directed towards research on neural networks. To many, neural network technology seems to be … Read more

A Beginner’s Guide to Neural Networks

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A Beginner's Guide to Neural Networks

Produced by Big Data Digest Compiled by: Li Lei, Da Jieqiong, Yun Zhou If you have opened a browser in the past few years, you have definitely seen the term “neural network” hundreds of times. In this short article, I will give you a preliminary introduction to this field and background information about neural networks … Read more

Neural Network Quantum States and Their Applications

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Neural Network Quantum States and Their Applications

|Author: Jiang Wenjie1 Deng Dongling1,2,† (1 Tsinghua University Institute for Interdisciplinary Information Sciences) (2 Shanghai Qi-Zhi Institute) This article is selected from “Physics” 2021 Issue 2 Abstract Neural network quantum states are quantum states represented by artificial neural networks. Thanks to the breakthroughs in machine learning, especially deep learning in recent years, the study of … Read more