Deep-Learning the Time Domain

A. Mahabal,K. Sheth,F. Gieseke, A. Drake, G. Djorgovski,M. J. Graham

Proceedings of the International Astronomical Union(2017)

引用 0|浏览5
暂无评分
摘要
“Deep learning” is finding more and more applications everywhere, and astronomy is not an exception. This talk described the application of convolutional neural networks to time-domain astronomy, specifically to light-curves of sources. The work that is discussed is based on a published paper to which reference can be made for more detail. The talk finished with a note cautioning new practitioners about the pitfalls lurking in out-of-the-box use of deep-learning techniques.
更多
查看译文
关键词
Deep learning,Convolutional neural network,Artificial intelligence,Computer science,Time domain,Work (electrical)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要