Source | Zhihu Author | JerryFly Link | https://zhuanlan.zhihu.com/p/115823190 Editor | Deep Learning Matters WeChat Official Account This article is for academic exchange only. If there is any infringement, please contact us for deletion. RNN is commonly used to handle sequential problems. This article demonstrates the computation process of RNN using animated graphics. The three … Read more
Selected from arXiv Authors: Matthew MacKay et al. Translated by: Machine Heart Contributors: Gao Xuan, Zhang Qian Recurrent Neural Networks (RNNs) achieve the best current performance in processing sequential data, but they require a large amount of memory during training. Reversible Recurrent Neural Networks provide a way to reduce the memory requirements for training, as … Read more
Big Data Digest Production Source: Google Blog Compiled by: Mali The weather in spring can change faster than you can turn a page; one moment it’s sunny, the next moment there’s a raging storm. In fact, accurately predicting the weather weeks or even minutes in advance is a scientific challenge that has a broad impact … Read more
“Programming is the art of telling another human being what one wants the computer to do.” — Donald Knuth 📑Paper:A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond 🔧GitHub:https://github.com/QiushiSun/NCISurvey Note: The authors of the paper are from Shanghai Artificial Intelligence Laboratory, The University of Hong Kong, National University of Singapore, East China Normal University, … Read more
Over 200 star enterprises and 20 top investors from renowned investment institutions participated! “New Intelligence Growth List” aims to discover innovative companies in the AI field with “tenfold growth in three years“, will the next wave of AI unicorns include you? Click read the original text for details! According to Lei Feng Network: Artificial intelligence … Read more
Introduction: Hello, readers of the “Beginner’s Data Learning” series! It has been a while. Google recently launched a neural network visualization teaching platform called “TensorFlow Playground”. You can now play with neural networks right in your browser! Isn’t that amazing? After trying it out with the beginner, you’ll definitely feel like, “Aha, this is what … Read more
1 Introduction Deep neural networks are composed of neurons organized into layers and interconnected, capturing their architecture through computation graphs, where neurons are represented as nodes and directed edges connect different layers of neurons. The performance of neural networks depends on their architecture, but there is currently a lack of systematic understanding of the relationship … Read more
Big Data Digest authorized reprint from AI Technology Review Authors: Li Mei, Huang Nan Editor: Chen Caixian In the past decade, deep learning has achieved remarkable victories, with methods using large parameters and data through stochastic gradient descent proven effective. The gradient descent typically uses the backpropagation algorithm, which has led to ongoing questions about … Read more
Produced by Big Data Digest Compiled by: Shijin Tian, Ni Ni, Hu Jia, Yun Zhou In many machine learning labs, machines have undergone thousands of hours of training. During this process, researchers often take many detours and fix many bugs, but it is certain that the experience and knowledge gained during the research process are … Read more
Reported by New Intelligence Editor: LRS [New Intelligence Overview] It has almost become a consensus that bigger neural networks are better, but this idea contradicts traditional function fitting theory. Recently, researchers from Microsoft published a paper at NeurIPS proving the necessity of large-scale neural networks mathematically, suggesting they should be even larger than expected. As … Read more