Applying GAN won’t work. If used for filtering would result on results being skewed to a younger, but it won’t show 9 the body of a 9 year old unless the model could do that from the beginning.

If used to “tune” the original model, it will result on massive hallucination and aberrations that can result in false positives.

In both cases, decent results will be rare and time consuming. Anybody with the dedication to attempt this already has pictures and can build their own model.

Source: I’m a data scientist

You can’t merge a generative model and a classification model. You can run then in series to get a bunch of false positives/hallucinations, but you can’t make it generate something from the other model.

https://en.m.wikipedia.org/wiki/False_positives_and_false_negatives

Not that I think you will understand. I’m posting this mostly for those moronic enough to read your comments and think “that seems reasonable”

So you need to have a model that generates CP to begin with. Flawless reasoning there.

Look, it’s clear you have no clue what you’re talking about. Stop demonstrating it, moron.

It differs in basically being something completely different. This is a classification model, doesn’t have generative capabilities. Even if you were to get the model and it’s weights, and you tried to reverse engineer an “input” that it would classify as CP, it would most likely look like pure noise to you.

Moron

It’s not even “chose an instance”. This is what my journey has been:

1. Chose an instance
2. Write an essay about why you wanted that one 3 never her reply, repeat 1 and 2
3. Get access, then instance goes offline. Repeat 1 and 2
4. Get another instance. They then bock piracy communities. Repeat 1 and 2
5. Land in lemm.ee.
6. Wait until I can block instances to get rid of nuances (everybody knows who I’m talking about)

Now try to get your non tech friends on board.

Trump already won, no need to keep making fake arguments against democrats

Now Palestinians will continue to suffer, but Ukrainians and Americans too! Good job