Added: 2 years ago
From: LogicGodTV
Views: 25,469
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  • I am very happy to see the vidoe This is a demonstration of a neural network imitator script after you give this

  • I Love The Video It Can Increase My Knowledge This is a demonstration of a neural network imitator script

  • Steady I Really Like This Video This is a demonstration of a neural network imitator script

  • Good, I like that you share this video, I wish success always This is a demonstration of a neural network imitator script. Impulses change which synapses become stronger and weaker

  • Nice Video That You Share , So Very Nice Thanks You This is a demonstration of a neural network imitator script. Impulses change which synapses become stronger and weaker

  • I Really Like The Video From Your This is a demonstration of a neural network imitator script. Impulses change which synapses become stronger and weaker

  • Your Video Is Very Useful Sharing This is a demonstration of a neural network imitator script

  • @imegatrone Thank you!

  • I don't get it. What is the purpose of this?

  • Worst music/sound in youtube history

  • @flahr1 I guess I didn't make it, I think it was like a garageband loop or something haha, thanks for the comment though :-)

  • @flahr1 I like the music.

  • Machines belong to Mensa.

  • song from intel isef

  • whats the name of this song

  • good attempt but didn't work out.

  • Comment removed

  • @Photon98

    looks like... funny animation but as far as I can see nothing more.

  • horrible choice of music

  • @PyroFire232 I made that music! haha

  • @LogicGodTV Well the underlying music seems OK, but why is there so much static?!

  • Which software are you using? please!

    !

  • What the f%&k is this shit??

    -->its no good if it can NOT be applied externally.

    You need to update your title please!

    (Your logic was not bad so i still rate up!)

  • how useless is this

  • so where do I get this program?

  • Dead link. Please update.

  • @ShadeAKAhayate Hmm just checked, make sure you're not blocking flash.

  • Comment removed

  • @LogicGodTV Sorry for the misinfo! Everything is working fine! Thanks for the interesting demo!

  • @LogicGodTV same troubles here. how do we make sure about that using google chrome?

  • @SuperPappys You should have flash player but if not, just google for adobe flash player and download the latest.

  • Cool visualization. Good video!

    Thumbs up.

  • @tangledfiber Thanks so much!

  • Just a quick question, do we need anything fancy to use this besides flash player? I've had some people being unable to load the applet, but I'm guessing this must be due to some third party flash blocker, because I don't personally have any problems running this.

    Excellent and intuitive little demo, by the way.

  • @Aoitetsugakusha Nothing but flash player and thanks :)

  • post a new link please! it seems to be really interesting!

  • Please post a new link. I'm interested in this but the link is dead as of today

  • What software are you using

  • @shawn8093 Im using adobe flash to code it (actionscript)

  • @shawn8093 your mom

  • @marsh8472 You wish!!!

  • Finally, a simple neural network demo. good work.

    If you make another version, how about include a clocking neuron to provide a constant stream of impulses.

    Also, have the ability to move or delete a neuron after its been created on the stage.

  • Would that be Ant Colony Optimization, by any chance? This makes it easier to visualize, I guess..if you change the video to show unproductive synapses being removed and more-travelled synapses being strengthened, then it'd be a lot easier to understand. Very interesting though.

  • Thanks for the comment! In the video you don't really get a chance to see the unproductive synapses fade, but they do slowly lose their influence through the reverse feedback from the very simplified punishing neurons. I suppose you could say it was a simplified version of ACO, where the impulses do eventually find the shortest path, their motion random at the beginning and influenced by the strong and weak neurons.

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