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Title | Lady Chili’s |
Description | Seq2Seq系列(一):基于神经网络的高维时间序列预测 It is better to burn out than to fade |
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US$1,444,111
Last updated: 2022-12-07 08:11:36
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Archives Category Tag About Seq2Seq系列(一):基于神经网络的高维时间序列预测 Nov 1 2019 Tech 21 minutes read (About 3208 words) 此Notebook旨在通过Python/Keras来验证 seq2seq神经网络如何做时间序列预测,尤其是在高维时间序列——也就是说,必须同步预测大量(10万+)序列的场景下。神经网络相对传统序列分析模型如ARIMA最有优势的地方在于——无需建立大量fine-tuned、针对序列的模型参数。 Read More 当我们谈SVM时我们谈些什么 Oct 8 2019 Tech 23 minutes read (About 3509 words) 机器学习研究者所说的 Support Vector Machines 通常泛指最大边界分类器 (Maximal Margin Classifier)、支持向量分类器 (Support Vector Classifiers) 和支持向量机 (Support Vector Machine) 三者。其本质都是构造linear decision boundary,前者分别是后者在数据纬度和适用范围方面的延伸。 Read More Daily Tips! May 29 2019 Tech 8 minutes read (About 1142 words) 日常积累的提升效率小tips, making life easier。 Read More Get Issues Fixed! May 29 2019 Tech 4 minutes read (About 592 words) 平时遇到的一些issues和解决办法。 Read More "A Man and A Woman" May 16 2019 Log a few seconds read (About 18 words) Read More Paper Review - Pregel (2009) May 9 2019 Note 5 minutes read (About 814 words) Review note for Pregel: A System for Large-Scale Graph Processing Pregel Paper 1 - |
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