Understanding 11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1
Let's dive into the details surrounding 11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1. So here here's where we ended in the last class uh we are the classes so far we've seen that
Key Takeaways about 11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1
- 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
- Yeah convergence we spoke of convergence and we spoke of uh problems with convergence and we spoke of the fact that
- Lecture
- Neural Networks
- Right that's correct so the correct answer is seven you want to have a hexagon and so you will need
Detailed Analysis of 11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1
Things right they're related but they're not the same so One Okay let's start over the next few classes we will look at how to optimize the training of your
If not let me start so let me so here's where we were we have seen so far that
That wraps up our extensive overview of 11 785 Spring 23 Lecture 6 Neural Networks Optimization Part 1.
