I’m wondering how I can use cGPT in a particular usecase and if so how can I go about feeding training data to it?
Whati am trying to accomplish: I want to be able to supply cGPT with a music file (.ogg or .mp3) and get an accuracy of .001 BPM as to what the BPM of a song is. Huge bonus points if it can also print out at which second (down to .001 sec) where a BPM would change in a song.
This is not a cGPT application, this is a deep learning application. So for the question can a deep learning process do this? Absolutely.
is there an open way to go about using deep learning? Is it something as accessible as cGPT?
No, nowhere near as accessible, but you can still learn it off the internet. Depends on how much effort you want to put into this project, really. The kind of thing you’re trying to do is pretty involved and will take a lot of trial and error, time, and effort to get working well. People have put in a lot of effort to make it easier but it’s not a trivial task.
If you’re really interested, I’d recommend looking into simple neural network tutorials on YouTube, specifically through tensorflow or (if you have institutional access) Matlab.