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Painting with Fire: A History in GANs by Bard Ionson

Painting with Fire: A History in GANs by Bard Ionson

PWF

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底价
0.0348 ETH
$2,345.34
大小
200
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所有者
97
49% 独特的所有者

Painting with Fire: A History in GANs by Bard Ionson 35

最后销售
0.1 ETH
 
稀有
47
/ 200
特征
Layout
grid
Ratio
square
GAN Resolution
64
Technique
normal Inference
epoch
23
GAN type
DCGAN / Art-dcgan
Historic Event
Wicanhpi Iyotan Win Autumn Cavender using Ai tools in Indigenous glitch art 2021
描述
The elemental force of fire is still being deciphered by an evolving algorithm. Each square offers a glimpse into the AI's learning process, displaying a variety of interpretations as it grasps the dynamic nature of flames. From the smoldering ember to the vibrant inferno, this matrix showcases the algorithmic quest to digitally render the life force of fire. Channeling the fire myths of the world, Prometheus, the Phoenix, the gods of the sun and flame. A story of technology brought to humans; to myths of destruction and rebirth. To be immortal; to be a god; it is always a paradox of fire and technology. The morality of the fire is always in question but we desire it and fear it. And yet it has changed us, we have learned so much since we first touched fire. We used it to destroy the wood, smelt the metal and build the chip. And now we teach and show the fire what we know; what we create and our reflection is there telling us our faults. The GAN is but a single neuron in a blazing star; a greater fire is coming. One of 200 unique pieces of art in Painting With Fire: A History in GANs. Exploring the history of generative adversarial networks GAN as represented by fire. https://bardionson.com/painting-with-fire DCGAN - Radford, Alec; Metz, Luke; Chintala, Soumith . "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" TokenNDN Wicanhpi Iyotan Win Autumn Cavender using Ai tools in Indigenous glitch art |2021|https://mnartists.walkerart.org/glitching-the-glass-wall-a-conversation-with-autumn-cavender-wilson
详情
代币 ID
35
网络
Ethereum
标准
ERC721