Canyonland
by Javier Ideami
Title
Canyonland
Artist
Javier Ideami
Medium
Digital Art - Digital
Description
This abstract composition that resembles a canyon is created by combining 3 different loss landscapes generated with real data from training processes of the same convolutional network. The combination highlights the diversity of morphology and patterns that arise in loss surfaces. The 3 loss surfaces have been positioned in 3d space in a way that produces a narrow corridor.
Loss Landscapes created with data from the training process of a convolutional network. Imaginette Dataset. SGD-Adam. Bs=16, bn, lr-sched, train mode, 1 million points, log scaled.
This piece has been created through a multi day process composed of different stages that begin with the training of deep learning neural networks and proceeds through a number of phases until arriving to the final artwork.
Created by Javier Ideami.
For more about the Loss Landscape project visit https://losslandscape.com
Uploaded
November 9th, 2019
Statistics
Viewed 677 Times - Last Visitor from Cambridge, MA on 04/23/2024 at 11:56 PM
Embed
Share
Sales Sheet
Comments
There are no comments for Canyonland. Click here to post the first comment.