Image by Rena, 2018, Wuhan
almost home
Keni

Love Begins
2025 on Tumblr: Trends That Defined the Year

tannertan36
i don't do bad sauce passes
taylor price

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roma★

Janaina Medeiros
I'd rather be in outer space 🛸
let's talk about Bridgerton tea, my ask is open
noise dept.

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DEAR READER
sheepfilms
Alisa U Zemlji Chuda
Jules of Nature

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PUT YOUR BEARD IN MY MOUTH
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@laylasailor
Image by Rena, 2018, Wuhan
wuhan, 2018
Trains pass along the bridge above our heads While the river flows on below All this seems to be happening In the life before this one.
Excerpt from Spring Comes to Hanyang Gate 汉阳门的春天, Zhang Zhihao 张执浩 (Ming, 2020)
这是一个朋克城市--武汉! This is a punk city - Wuhan! Lyrics from Big Wuhan by SMZB 我出生在这里,这个最热的城市, 800多万人民生活在这里, 武昌起义打响第一枪在这里, 孙中山的名字永远记在我心里, 我带着梦想生活在这里, 我带着希望走在每一条街上, 我想改变这个城市, 因为她永远属于我和你!
New paint colors invented by neural network
So if you’ve ever picked out paint, you know that every infinitesimally different shade of blue, beige, and gray has its own descriptive, attractive name. Tuscan sunrise, blushing pear, Tradewind, etc… There are in fact people who invent these names for a living. But given that the human eye can see millions of distinct colors, sooner or later we’re going to run out of good names. Can AI help?
For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values) Could the neural network learn to invent new paint colors and give them attractive names?
One way I have of checking on the neural network’s progress during training is to ask it to produce some output using the lowest-creativity setting. Then the neural network plays it safe, and we can get an idea of what it has learned for sure.
By the first checkpoint, the neural network has learned to produce valid RGB values - these are colors, all right, and you could technically paint your walls with them. It’s a little farther behind the curve on the names, although it does seem to be attempting a combination of the colors brown, blue, and gray.
By the second checkpoint, the neural network can properly spell green and gray. It doesn’t seem to actually know what color they are, however.
Let’s check in with what the more-creative setting is producing.
…oh, okay.
Later in the training process, the neural network is about as well-trained as it’s going to be (perhaps with different parameters, it could have done a bit better - a lot of neural network training involves choosing the right training parameters). By this point, it’s able to figure out some of the basic colors, like white, red, and grey:
Although not reliably.
In fact, looking at the neural network’s output as a whole, it is evident that:
The neural network really likes brown, beige, and grey.
The neural network has really really bad ideas for paint names.
#inspo
Thrilled to be part of this new project with SHOWstudio - have a look here: http://showstudio.com/project/constructed Constructed seeks to exhibit the growing medium of fashion film within China whilst examining the faculty for contemporary artists to express themselves and create their work under the restraints experienced by the country's population on a day-to-day basis in 2017
Check out my new daily zine Shenme, showcasing work by students and lecturers from ZJFIT China http://www.shenmezine.info