SOME EXPERIMENTS I HAVE DONE
WITH ART + DEEP LEARNING
show some of my experiments, both testing the limits of other
people’s models and training my own models
overview of how the models work
for artists and machine learners in the audience, i tried to make it
so you will all learn a little
hopefully inspire some of you to go out and build something
MY BACKGROUND - JASONTOY
my main passion is general artiﬁcial intelligence
studied math and computer science
generalists, program a little of everything, master of nothing
founded a couple of companies: rubynow, socmetrics - using ML for
mining social media
CEO of ﬁlepicker,sold in beginning of 2016
exploring the intersection of machine learning,art, entrepreneurship
mostly automated feature extraction
much better at learning nonlinear relationships
WHAT IS GENERATIVE
generative vs discriminative
architect of models
GM around for a long time - used in architect, design,games,etc
miniature systems that mimic something in real life,“artist in a
more fun; I'm not as interested to increase ad clickthrough rates
GENERATIVE DEEP MODELS
tweak-able output w/ vectors
“I'm not going anywhere. I will bring the poorly educated back
bigger and better. It's an incredible movement. ”
“We're losing companies, the economy.We are going to save it.
We're going to bring the party. Let's Make America Great Again”
“I want to thank the volunteers.They've been unbelievable, they
work like endlessly, you know, they don't want to die. My
leadership is good”
RNN - recurrent because they perform the same task for every
element of a sequence; typically 2-3 layers
LSTM - long short term memory
similar, state is calculated differently
MY CHAR-RNN EXPERIMENTS
what does Hellen Keller think?
seeing is like or inspirents of a kiss licks, in child, for the last decting
of accomplish with me for the mistakes in silence is to keep the
moments ﬁlled whiter, the chaps of the house language was sends a
i wish i could presepred its repepenting and the days like the poor
discuss of language of the poem in the letters, dotiment in the endless
good and eager and over the charicality of the hall of rubbings that I
hapmende the comprehend, the birds like your mind to perhaps the
not wind I should do?
MY CHAR-RNN EXPERIMENTS
“i love you. Now her before it just numberse idevening with the
press over. I was probably ever need to ever admit? Right” -
“life is an economy. I was in the LGBT communities can to the
worst of the gun not only the ﬁght are of us safe and I start up
these are not grow…” - Hillary
train a model to talk like a person with little data? transfer
could we train a model off of a standard “human” model ?
could we train a model to talk in different emotions/styles?
train with different image sets - sea life, reptiles?
different objective function - activate only 1 group of neurons?
selective regions of hallucinating?
testing different network architects
Paint images in the style of any painting
A NEURAL ALGORITHM OF
The key ﬁnding of this paper is that the representations of
content and style in the CNNs are separable.
CNNs - convolutional Neural Network
high layers in the network act as the content of the image
style computed from multiple layers’ ﬁlter responses
can we automatically ﬁnd the “good” images from a combination?
can we know beforehand if a combo style/content will look
currently trained on vggnet data, what happens if we train it on a
different data set, will the art look different?
will a different architect make better art?
I ACCIDENTALLY GAVETHE ANIMAL
BACK OF MY HEAD , BREATHING
DEEPLY .THERE WAS NO DOUBT IN
HER EYES ,AND I COULDTELL BY
THE LOOK ON HIS FACETHAT HE
DID N'T APPROVE OF WHAT WAS
HAPPENINGTO ME . IN FACT , IT
MUST HAVE BEEN ONE OFTHOSE
RARE OCCASIONS ,AS WELL AS A
PET ANIMAL . HER SCENT FILLED
THE AIR .THAT 'S WHAT SHE WAS
LOOKING FOR ,AND NOW SHE
HADTO STAY AWAKE LONG
ENOUGHTO DIG UPTHE LEASH
FUTURE NEURAL STORY
train with different text
a “seeing” Hellen Keller version
train on different visual features
AND MANY OTHER EXPERIMENTS…….
DATA IS ESSENTIAL
many of these models are built on public datasets
always has been a problem; bigger problem for DL and general
very hard to get data; how can this be solved?
constantly on my mind ; lets connect me if interested
DL IS NOT ALL FUN AND
specialized software/hardware pipelines; GPUs
be prepared to wait; think weeks, not hours
techniques and architects changing everyday
I dream of building larger models
AGI and multi modal models
want to collaborate with cool artists and coders
fun? lets talk!
what is deep learning: http://www.jtoy.net/2016/02/14/opening-
generative models: https://en.wikipedia.org/wiki/
discriminative models: https://en.wikipedia.org/wiki/
TEST LIVE MODEL LINKS
trump char-rnn model: http://somatic.io/models/WZmmBjZ9
neural style model: http://www.somatic.io/models/5BkaqkMR
neural talk model: http://somatic.io/models/qoEGanRe
romance story telling: http://somatic.io/models/2n6g7RZQ
“Every great advance in science has issued from a new
audacity of imagination.”
I write here:
my models here: http://somatic.io