Uploaded by Background Pony #E328
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Explicit version: >>1758963

Trained model and additional material: https://mega.nz/#!CCRQQYjL!2ZKP39e40Bw5uDegAXeaBKO12dggtgu6ZRB2CX4XRck

[1] https://www.gwern.net/Danbooru2017
[2] https://github.com/joshua-stone/DerPyBooru
[3] https://pair-code.github.io/saliency/
[4] https://www.reddit.com/r/MachineLearning/comments/7sn4p6/
[5] http://norman-ai.mit.edu/

Seems like user "relgukxilef" had similar plans:


not provided yet


Syntax quick reference: *bold* _italic_ [spoiler]hide text[/spoiler] @code@ +underline+ -strike- ^sup^ ~sub~
Background Pony #908B
Fan Facts: MLP is also an abbreviation of Multi-Layer Perception.

Multi-Layer Perception is a type of Neural Network, an algorithm mentioned in this image, but with much more than 1 layers of the middle layer between input and output. (It's alright if you don't get this, unless you are in computer science field of study taking this path, this is a tough thing to understand)

Multi-Layer Perception: Friendship is Magic
My Little Pony - 1992 Edition
Wallet After Summer Sale -

The only problem is that those things can be tricked in a rather interesting fashion, images usually contain a “background noise” that is unique to each image, humans can’t see this noise but neural networks due, so if you take the background noise from one image and replace it with the noise from another it’ll mistake it for the other image

Cut and paste the ostrich picture’s noise and tada, the school bus is an ostrich
Background Pony #2843
I've done some work on doing a similar NSFW classifier (well, 'safe' vs 'questionable' vs 'explicit' in the Danbooru system): https://danbooru.donmai.us/forum_posts/148700 It doesn't work as well as I thought it would, but it's good enough to find a lot of misclassified images.
Background Pony #E328
Explicit version: https://derpibooru.org/1758963 (seems like I can not update description without having an account)