Math Club: Error-free Training for Artificial Neural Networks
When: Thursday, October 17th at 5:00 pm
Where: 351 Avery Hall
Presenter: Professor Bo Deng
Title: Error-free Training for Artificial Neural Networks
Abstract: If we define intelligence as not making the same mistake twice, then a system achieves this artificial intelligence if and only if it can learn from its mistakes every time. For a feedforward neural network under supervised training, this means that it can be trained error-free for every dataset. This problem is known as the discreet classification problem in mathematics. Its solution was obtained more than thirty years ago by what is now known as the Universal Approximation Theorem. In this talk, I will present a numerical algorithm to fulfill the UAT. I will illustrate the algorithm by both abstract and practical classification problems.
Everyone is welcome! Pizza and Pop will be served!
Please visit https://math.unl.edu/math-club for more information about the Math Club and future Math Club events!