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タイトル：On the role and the design of loss functions in machine learning
講演者： Nguyen Tien Zung (Institut de Mathématiques de Toulouse)
アブストラクト：
Most people who are doing machine learning use some “standard” loss functions, such as the cross entropy and the mean square loss. However, for the same machine learning problem, one may use many different loss functions, and some of them may turn out to work much better than the “standard” ones. In this talk I want to discuss some simple general ideas about the loss functions, how do they affect the machine learning programs, and how to design them. I’ll try to use some examples from what we’re doing at Torus AI (https://torus.ai) for illustration.
日時：2022年5月26日（木） 16:30～18:00
タイトル：On the role and the design of loss functions in machine learning
講演者： Nguyen Tien Zung (Institut de Mathématiques de Toulouse)
アブストラクト：
Most people who are doing machine learning use some “standard” loss functions, such as the cross entropy and the mean square loss. However, for the same machine learning problem, one may use many different loss functions, and some of them may turn out to work much better than the “standard” ones. In this talk I want to discuss some simple general ideas about the loss functions, how do they affect the machine learning programs, and how to design them. I’ll try to use some examples from what we’re doing at Torus AI (https://torus.ai) for illustration.
開催方法：Zoom配信での開催です．
問い合わせ先：立命館大学理工学部数理科学科 多羅間 大輔
日本語