I was in a class about 25 years ago and the prof gave up teaching Laplace transforms for process control because most of the students didn't get it. I confess I didn't really understand what was going on with them. Maybe this has something to do with that sort of thing.
Was it a college engineering class where you were being taught Laplace Transforms? The professor does not sound that good if he gave up.
If you ever heard of the Fourier Transform, that transforms signals in time space to the frequency space (instead of seeing the signal amplitudes in time, you see the frequency or # of times the same signal amplitude range pops up over a given time period).
Laplace Transform is just a generalized Fourier Transform (its the same thing but covers a wider range than the Fourier Transform)
The Laplace Transform: A Generalized Fourier Transform | Steve Brunton
Anyways matrix multiplication or deep learning neural networks is not necessarily involved with laplace transforms. However finding a new way to compute matrix multiplication faster is extremely useful and makes computing power much more efficient. More can be done in the same period of time.
I was in a class about 25 years ago and the prof gave up teaching Laplace transforms for process control because most of the students didn't get it. I confess I didn't really understand what was going on with them. Maybe this has something to do with that sort of thing.
Was it a college engineering class where you were being taught Laplace Transforms? The professor does not sound that good if he gave up.
If you ever heard of the Fourier Transform, that transforms signals in time space to the frequency space (instead of seeing the signal amplitudes in time, you see the frequency or # of times the same signal amplitude range pops up over a given time period).
Laplace Transform is just a generalized Fourier Transform (its the same thing but covers a wider range than the Fourier Transform)
The Laplace Transform: A Generalized Fourier Transform | Steve Bruntonhttps://www.youtube.com/watch?v=7UvtU75NXTgWrong video, found the right one
What does the Laplace Transform really tell us? A visual explanation (plus applications) | Zach Star
https://www.youtube.com/watch?v=n2y7n6jw5d0
Anyways matrix multiplication or deep learning neural networks is not necessarily involved with laplace transforms. However finding a new way to compute matrix multiplication faster is extremely useful and makes computing power much more efficient. More can be done in the same period of time.
I'll have to look at it. TY. Most of what I learned I've forgotten now. If you don't use it you lose it.
Golf and shooting aren't the only perishable skills.
I understand, professors tend to introduce it in the worst way possible as well