Mahabal, A.A.MahabalSheth, K.K.ShethGieseke, F.F.GiesekeDrake, A.A.DrakeDjorgovski, G.G.DjorgovskiGraham, M. J.M. J.Graham2025-08-312025-08-312017-01-0110.1017/S17439213180024912-s2.0-85071531906https://d8.irins.org/handle/IITG2025/23477Deep 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.falsemethods: data analysis | Surveys | Techniques: image processingArticle17439221165-17120170arJournal0