research blog: inceptionism: going deeper into neural networks




found by Dan Brickley

more on this here ...

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my tweet

... now are we to expect hallucinated news? For example, Trump becomes president ... and all the stories leading up to that nightmare.
...

Tags

  1. dan brickley
  2. google research
  3. ai
  4. inceptionism
  5. deep dream
  6. deepdream
  7. joshua
  8. hallucination
  9. neural net
  10. kitsch
  11. item 18501
  12. entertainment
  13. deep learning
  14. to watch
  15. google

Comments


Seth says
seeing the pixels that are not in the input

Seth says
bit of background here

Seth says
apparently the code is relatively short and accessible ...

Seth says
many more examples under twitter deepdream

Seth says
web service available

Seth says
seth 2015-07-07 06:22:05 18501
source: my question

Have we learned anything here beyond how to automate an aberation?
...

Dan points to ...



Seth says
seth 2015-07-07 11:46:58 18501

apparently if you look deep enough there are dogs.

Seth says
ever wonder what makes your computer horney

Seth says
a perspective on it as kitsch .... it does become disgusting to look at once you have seen enough.  but if you think about it ... your mind itself has these same biases ... deepdream's just happens to be dogs.

Seth says
...... 2015-08-13 09:11:59 18501
seth 2015-08-13 08:02:13 18501
seth 2015-07-07 11:48:04 18501
seth 2015-07-07 11:46:58 18501

apparently if you look deep enough there are dogs.

note how a neural network can create a filter that will generate shit that is not even present in the input
The idea of a filter is like a sieve lets something through & holds something back - adding shit doesn't fit for me.  If the sieve or strainer were to add things like bits of plastic & metal from the sieve itself I would say it is broken. 


to see the phenomena you actually would need to delve into the technology of a neural network.  It works quite different than just a physical sieve.  Watch the movie to see what i am saying being demonstrated ... and also note that once started this was not composed by a person, but rather composed by the network.   It starts off seeing just abstract shapes ... yet ends up seeing dogs.  Why?  Well just because the initial training files of the neural network contained a bunch of images of dogs. 

Is this phenomena a common feature of all neural networks?

Seth says
incidentally i have watched a number of these DeepDream mutations produced by this new Google ai tool.  many other people were going OMG how impressive! ... me, i ended up having the opposite response, OMG how disgusting!  which reaction was visceral .. not conceptual. 

Seth says
source: ...

You added the term filter to which I responded,  Neural network, unless in the context of infinite nothing, are confined: therefore GIGO.

... well yeah in the presence of and sensitive to the world, hopefully, we do not get GIGO

Which is one reason i choose not to take a  Solipsistic stance towards life.  My experience is not just of the making of my own will.  I have been discussing this with Nathan, which is why it keeps coming up in my thoughts here. 

see, training files disclosed ... my dogs, not yours, so sorry you didn't care

Seth says
Artificial Intelligence and Machine Learning: Whats the Difference? Thoughts on deep learning at Google.  to watch

Seth says

a technical pop science introductory article about deep learning.  this stuff has been building up over time and is slowly becoming accessable off the shelf technology. 

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