Am I the only one who found those images somewhat disturbing? I wonder if they're triggering something similar to http://www.reddit.com/r/trypophobia
This unpublished one is incredibly creepy. https://i.imgur.com/6ocuQsZ.jpg
Inceptionism: Going Deeper into Neural Networks
61–70 of 166 posts
Re: Inceptionism: Going Deeper into Neural Networks
#62Earlier quoted context omitted.
In case anyone hasn't read the story this is referring to: "BLIT" by David Langford. http://www.infinityplus.co.uk/stories/blit.htm
There's also a few sequels: http://ansible.uk/writing/c-b-faq.html http://www.lightspeedmagazine.com/fiction/different-kinds-of... And What Happened at Cambridge IV , which I can't find online.
Here's What Happened at Cambridge IV:
https://books.google.co.uk/books?id=5d9hHvD-T7gC&lpg=PA264&o...
This last story makes the ML images even more disturbing!
Highly recommend these stories. They'd make a great black mirror episode.
Re: Inceptionism: Going Deeper into Neural Networks
#63I'll repeat what I posted on facebook because I thought it was clever: "Yes, but only if we tell them to dream about electric sheep." So, tell the machine to think about bananas, and it will conjure up a mental image of bananas. Tell it to imagine a fish-dog and it'll do its best. What happens if/when we have enough storage to supply it a 24/7 video feed (aka eyes), give a robot some navigational logic (or strap it t…
Neural networks are a relatively simple mathematical model. They don't actually "think" or have a conscience. Neural networks are also regularly fed books, in order to model some properties of natural language.
Here's a good introduction: http://colah.github.io/posts/2014-07-NLP-RNNs-Representation...
Re: Inceptionism: Going Deeper into Neural Networks
#64This is one of the most astounding things I've ever seen. Some of these images look positively like art. And not just art, but good art.
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Re: Inceptionism: Going Deeper into Neural Networks
#65Tweak image urls for bigger images: Ibis: http://3.bp.blogspot.com/-4Uj3hPFupok/VYIT6s_c9OI/AAAAAAAAAl... Seurat: http://4.bp.blogspot.com/-PK_bEYY91cw/VYIVBYw63uI/AAAAAAAAAl... Clouds: http://4.bp.blogspot.com/-FPDgxlc-WPU/VYIV1bK50HI/AAAAAAAAAl... Buildings: http://1.bp.blogspot.com/-XZ0i0zXOhQk/VYIXdyIL9kI/AAAAAAAAAm... I'd love to experiment with this and video. I predict a nerdy music video soon, and a pop video…
As linked in the last figure caption, there's a Google Photos gallery with high-resolution downloadable versions: https://goo.gl/photos/fFcivHZ2CDhqCkZdA
There's a video, among them
https://photos.google.com/share/AF1QipPX0SCl7OzWilt9LnuQliat...
Re: Inceptionism: Going Deeper into Neural Networks
#66The one generated after looking at completely random noise on the bottom row, second from the right: http://googleresearch.blogspot.co.uk/2015/06/inceptionism-go... Reminds me very heavily of The Starry Night https://www.google.com/culturalinstitute/asset-viewer/the-st... Lovely imagery. I never had much luck with generative networks. I did some work putting RBMs on a GPU partly because I'd seen Hinton talk showing s…
Neural networks are notoriously difficult to train due to the large number of hyper-parameters that need to be tuned. If your network never converged, it's possible your learning rate was too high, so it kept overshooting the minima of the loss function.
Re: Inceptionism: Going Deeper into Neural Networks
#67This was recently posted to HN, http://tjake.github.io/blog/2013/02/18/resurgence-in-artific...
Which mentions running the NN in reverse, quote
By far the most interesting thing I’ve learned about Deep Belief
Networks is their generative properties. Meaning you can look
inside the ‘mind’ of a DBN and see what it’s imagining. Since a
deep belief networks are two-way like restricted boltzmann
machines you can make hidden inputs generate valid visual
inputs. Continuing with our handwritten digit example you can
start with the label input say a ‘3’ label and activate it then
go reverse through the DBN and out the other end will pop out a
picture of a ‘3’ based on the features of the inner layers. This
is equivalent to our ability to visualize things using words, go
ahead imagine a ‘3’, now rotate it.Re: Inceptionism: Going Deeper into Neural Networks
#68I am curious what do they see if feed with a screenshot of their own code.
Re: Inceptionism: Going Deeper into Neural Networks
#69Really nice. I'd be interested in seeing a more in-depth scientific description of how these images were actually generated. Are there any other publications related to this work?
There's four papers linked in the article. The last three (see below) were pretty good, haven't read the first.
http://arxiv.org/pdf/1412.0035v1.pdf
Re: Inceptionism: Going Deeper into Neural Networks
#70Pretty interesting and beautiful. If I was still at my old job I'd love to try and see how helpful this is in teaching NN. My first instinct is that it would be really valuable because they tend to be blackboxy/hard to conceptualize.