Title: Tutorial on Convolutional Neural Networks
|Affiliation:||University of Waterloo|
Abstract: We have seen stochastic gradient descent and automatic differentiation to help handle the big dimensionality of problems that often occur in machine learning. In this presentation, I will present where this big dimensionality comes from by presenting a simple neural network. Then I will give a brief tutorial on convolutional neural network and its basic operations. I will close the talk by presenting AlexNet, which is an example of a convolutional neural network.
200 University Avenue West
Waterloo, ON N2L 3G1