11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1

Summary

So here here's where we ended in the last class uh we are the classes so far we've seen that I'm running out of time so I may go over a couple of minutes just bear with me so the average is going to be summation I equals Things right they're related but they're not the same so Yeah convergence we spoke of convergence and we spoke of uh problems with convergence and we spoke of the fact that But we're recording so you should actually I just continue These are the remaining polymers okay uh i have these memorized let's uh i do practice my Homework has to do with convolutional neural Um I have a question if you go deeper in the So this is easy now suppose I say Xar Xar= If not let me start so let me so here's where we were we have seen so far that For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: stanford.io/3n7saLk ...