Submitted by Nik_uson t3_zax3z1 in MachineLearning
I want to share that I have been generating a neural network using GPT over the past two days.
Here are links to the Autoencoder and VAE for audio, the code that GPT generated:
Submitted by Nik_uson t3_zax3z1 in MachineLearning
I want to share that I have been generating a neural network using GPT over the past two days.
Here are links to the Autoencoder and VAE for audio, the code that GPT generated:
Okay, I haven't noticed anything interesting in the architecture. Have I missed smth? Have you benchmarked it?
This was the first thing I have tried with gpt3, and for me, it produced simple and typical networks.
And why complicate such a simple task? VAE works pretty well
And if I just wanted an autoencoder for my task, without trying to generate anything, then I wouldn't be able to do this post :)
Most recently, it was almost impossible to do this with Codex because of its stupidity, but ChatGPT coped with the task. This post reflects my enthusiasm for the advancement of technology.
Okay, but the code that you uploaded, do you think it has value of itself or do you want to demonstrate that this is possible?
I probably want to demonstrate that this is possible
Works pretty well for what? You didn't say what this network is supposed to be used for
I am considering that it can be used for audio recognition and synthesis. With proper training, it will show good results in your task.
Well, unless you actually train it and show some results, you're just putting out claims without much basis.
Don't get me wrong, it's cool in a way that the neural network provides code for another neutral network, but if it doesn't work properly it's not really helpful.
OK, here is the result on 30 epochs and a data set in a pair of wav files:
https://drive.google.com/file/d/17IrjYCZYzLx6ESbg43xLHQsPTEz5SxVm/view?usp=sharing
tedd321 t1_iyppku5 wrote
Make this into a neural network factory