Reporter: Southeast bet365 live casino review bet365 live casino review/Vice Dean
Reporting location: bet365 live casino review Building313Conference Room/Tencent Conference:543-890-913
Report time:2022Year11month1Sunday (Tuesday) morning10Points
Report title: Machine bet365 live casino review“gene”: Let machines learn like humans
Personal introduction: Geng Xin，Chief Professor of Southeast bet365 live casino review，Executive Vice Dean of the Graduate School，National Outstanding Youth、Winner of the Excellent Youth Fund，Distinguished Fellow of the International Society of Engineering and Technology。Mainly engaged in machine learning、Pattern recognition、Research on computer vision and other aspects。Won the second prize bet365 live casino review National Natural Science Award、First prize for national teaching achievements and many other teachings、Scientific Research Award。Current member of the Computer Science Evaluation Group of the bet365 live casino review Degrees Committee of the State Council，Member of the Artificial Intelligence Expert Committee of the Education Steering Committee for College Computer Majors of the Ministry of Education，Vice Chairman of Jiangsu Computer Society，Member bet365 live casino review Steering Committee bet365 live casino review Asia-Pacific International Conference on Artificial Intelligence。
Abstract: One bet365 live casino review fundamental driving forces of this round of artificial intelligence boom is modern machine learning、Especially the development of deep learning technology。Deep learning requires a large amount of training data and computing resources。However，Humans can often learn a new concept quickly with a small number of samples。This is because newborn brains are not random，The result of millions of years of human evolution has been to genetically initialize the newborn brain。Inspired by this，We propose machine learning“gene”——Learngene. based onLearngene's new learning framework is expected to change the current rules bet365 live casino review game in the field of deep learning: now we only need to use a few“Model supplier”Large-scale training for open world missions，And a task-oriented one“Customer”Just need to start from“Model supplier”Buy one atLearngene，Initialize your own lightweight model，You can use a small number of samples to quickly adapt to your target tasks，Just like human bet365 live casino review。
