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Author Topic: Turning Neural Networks Upside Down  (Read 13872 times)
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Vega
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From Russia With Love


« Reply #165 on: June 04, 2016, 11:46:02 AM »

Self Portrait

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kram1032
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« Reply #166 on: June 04, 2016, 12:55:49 PM »

nice result!
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Chillheimer
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Just another fractal being floating by..


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« Reply #167 on: June 09, 2016, 10:38:11 AM »

and it continues: "A.I. Learns Nobel Prize Experiment in Just 1 Hour!"
<a href="https://www.youtube.com/v/lJcGzmsLRUo&rel=1&fs=1&hd=1" target="_blank">https://www.youtube.com/v/lJcGzmsLRUo&rel=1&fs=1&hd=1</a>

then there's this cool tool that uses neural learning to calculate handwritten math formulas:
http://mathpix.com/

and deepstyle for videos:
<a href="https://www.youtube.com/v/Khuj4ASldmU&rel=1&fs=1&hd=1" target="_blank">https://www.youtube.com/v/Khuj4ASldmU&rel=1&fs=1&hd=1</a>
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--- Fractals - add some Chaos to your life and put the world in order. ---
TheRedshiftRider
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« Reply #168 on: June 30, 2016, 09:10:26 PM »

<a href="http://www.youtube.com/v/py5byOOHZM8&rel=1&fs=1&hd=1" target="_blank">http://www.youtube.com/v/py5byOOHZM8&rel=1&fs=1&hd=1</a>

<a href="http://www.youtube.com/v/BFdMrDOx&rel=1&fs=1&hd=1" target="_blank">http://www.youtube.com/v/BFdMrDOx&rel=1&fs=1&hd=1</a>
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Chris Thomasson
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« Reply #169 on: June 30, 2016, 10:59:51 PM »

Thank you for posing these links! :^)
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TheRedshiftRider
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« Reply #170 on: July 22, 2016, 07:30:05 PM »

<a href="https://www.youtube.com/v/uSUOdu_5MPc&rel=1&fs=1&hd=1" target="_blank">https://www.youtube.com/v/uSUOdu_5MPc&rel=1&fs=1&hd=1</a>
« Last Edit: July 22, 2016, 07:55:41 PM by TheRedshiftRider » Logged

Motivation is like a salt, once it has been dissolved it can react with things it comes into contact with to form something interesting. nerd
valera_rozuvan
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« Reply #171 on: July 27, 2016, 04:52:00 AM »

It's 05:45 in the morning, and I just got this amazing idea I simply must share with you guys!

Imagine that you use the progression of generated images of a fractal zoom as a training set to a neural net. Then at some zoom level (say N), the neural net will be smart enough to come up with the next generated image of a zoom level N+1. You will just tell it - I want to zoom in closer at this point. In essence - the neural net will become a fractal generator engine!

After training it, it will be interesting to see how it behaves zooming in at another point location.

Anyone want to work on this together?

PS: I have looked carefully through this thread, and don't think that such idea has been mentioned before.
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Chillheimer
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« Reply #172 on: July 27, 2016, 10:21:00 AM »

I'm pretty sure that the results of a purely 'dreamed' deepzoom won't match a real deep zoom. It will learn the basic shapes that appear anywhere, but I don't think it will do what we call shapestacking, as this is a process that needs deliberate, conscious input, and the result is only visible in one or two of the hundred pictures of a zoom sequence. not sufficient to train imho.

But that doesn't matter - I would be interested in participating, because I'm curious!
If you have a simple step by step info how to set a standard windows machine to train, I'll happily let it run for a few weeks. we could generate countless zoompaths using kalles fraktaler┤s "find minibrot" function.
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valera_rozuvan
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« Reply #173 on: July 28, 2016, 01:12:09 AM »

If you have a simple step by step info how to set a standard windows machine to train, I'll happily let it run for a few weeks.

The problem is that I wasn't able to find a ready-to-use code base for such an experiment. While there are many projects based on neural-network technology, none seem to do out of the box what we want. See for example Awesome Deep Vision. Image Generation..

What I want to do:


source: http://www.fractalforums.com/index.php?action=gallery;sa=view;id=19459
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Chillheimer
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« Reply #174 on: July 28, 2016, 11:55:34 AM »

very interesting, but I know too little about this.
if you find a way please update me, I'll be happy to let my cpu chew on these for a few days/weeks..
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valera_rozuvan
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« Reply #175 on: July 28, 2016, 12:52:18 PM »

Just going through some earlier posts. Some work on the front of fractals + neural nets has already been carried out by the forum members.

Art created with Google's Deep Dream:

1.) The Procession
2.) Neural Dreaming
3.) Neural Dreaming 2
4.) DeepDream Mandelbrot

Video of a fractal zoom inside a Google's Deep Dream:

1.) Dense DEEPDREAM Mandelbrot zoom - Julia morphing

Some general discussions on fractals and neural nets:

1.) AI fractal zooming?
2.) Understanding Long Short Time Memory Neural Networks
3.) Using complex neural networks to generate 2D fractals: Thesis Survey

Interesting application of neural nets on fractals:

1.) experimenting with mandelbrot set and neural network
2.) (it works!) Neural Network, Self Organizing Map, and Mandelbrot Set
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TheRedshiftRider
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« Reply #176 on: August 26, 2016, 08:27:43 PM »

<a href="http://www.youtube.com/v/BsSmBPmPeYQ&rel=1&fs=1&hd=1" target="_blank">http://www.youtube.com/v/BsSmBPmPeYQ&rel=1&fs=1&hd=1</a>
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Caleidoscope
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« Reply #177 on: August 27, 2016, 10:52:52 AM »

I had a lot of fun with a similar online generator. And I even made special pictures and even fractals , to try to create an outcome that I had in mind for that is the most fun otherwise it get boring, I think. Like the example in the vid about the cat's eyes and such that makes it more exiting. Here are some of the pictures I created with dreamdeeply if anybody is interested wink
<a href="https://www.youtube.com/v/zerXkr4o9xg&rel=1&fs=1&hd=1" target="_blank">https://www.youtube.com/v/zerXkr4o9xg&rel=1&fs=1&hd=1</a>




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kram1032
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« Reply #178 on: August 29, 2016, 10:13:48 PM »

I wish there was a web-based portal where not only can you pick a given trained network to "deepdreamify" your image, but you can also actually contribute to a completely custom training set and train have that trained up via some kind of *@HOME-like technique.
That way you could broaden the scope of these a lot.
What if I don't just want buildings, human faces or animals?
Most of the process is automatic. You just pick a certain NN architecture, a training set and a bunch of "hyperparameters" which essentially end up finetuning how the NN performs, and else just lots and lots of time.

I mean I can only imagine an internet-inspired NN to be mildly disturbing, but still, it should work, right? Even if it was slow, given enough computing power a couple of decent models should easily emerge.
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Sockratease
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« Reply #179 on: November 05, 2016, 10:56:49 AM »

Finally got back to playing around with this toy!

Here's a Chaoscope Strange Attractor I took over to that crazy Deep Dream thingy.



I posted it in the gallery with a Frank Zappa Tribute title and description   afro
« Last Edit: November 05, 2016, 11:04:57 AM by Sockratease, Reason: Speelinf Eroorz » Logged

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