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Tom White - Jellyfish

Jellyfish

Le Random Logo

Perception Engine is an ongoing project exploring neural network's abilities to create abstract representations of real-world items by reverse engineering classifying systems. Each piece from the project starts with the system generating a random geometric composition of shapes and lines that are then fed into a classifying neural network to rearrange the components to represent a real-world item. This reverse engineering of systems allows for a unique and insightful look into how machines develop their own algorithmic view of our world.

Artist Note
Description

Jellyfish, from the Perception Engines 2 Series, 2021.Digital master created by neural networks based on the ImageNet category "jellyfish". The boot-up sequence reveals the process by which computer perception manipulates shapes and colors to create the final printable layers.

Details

Le Random Thread

Edition Type

1/1

Date of Mint

July 4, 2023

Date of Acquisition

July 4, 2023

No description available

Jellyfish, from the Perception Engines 2 Series, 2021.Digital master created by neural networks based on the ImageNet category "jellyfish". The boot-up sequence reveals the process by which computer perception manipulates shapes and colors to create the final printable layers.

Le Random Thread

Medium

Image

Process

AI

Tags

Conceptual

Organic

Edition Type

1/1

Date of Mint

July 4, 2023

Date of Acquisition

July 4, 2023

Acquisition Number

304

Contract Address

0x39efbb9f3333e87f9eb6b6148dd4c09127efa611

0x39efbb9f3333e87f9eb6b6148dd4c09127efa611

Address Copied!

Token ID

1

Perception Engine is an ongoing project exploring neural network's abilities to create abstract representations of real-world items by reverse engineering classifying systems. Each piece from the project starts with the system generating a random geometric composition of shapes and lines that are then fed into a classifying neural network to rearrange the components to represent a real-world item. This reverse engineering of systems allows for a unique and insightful look into how machines develop their own algorithmic view of our world.