Interestelar#3
by Javier Ideami
Title
Interestelar#3
Artist
Javier Ideami
Medium
Digital Art - Artificial Intelligence Digital Art
Description
Interestelar visualizes an array of loss landscapes calculated with real data, using Resnet 20 arquitectures, with batch sizes of 16 and 128 and the Adam optimizer.
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.
When analyzing the loss landscape generated while increasing dropout, we see a noise layer taking over the landscape, a layer that is disruptive enough to help in preventing overfitting and the memorization of paths and routes across the landscape, and yet not disruptive enough to prevent convergence to a good minima (unless dropout is taken to extreme values).
Created by Javier Ideami.
For more about the Loss Landscape project visit https://losslandscape.com
Uploaded
July 28th, 2020
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Viewed 185 Times - Last Visitor from Cambridge, MA on 04/16/2024 at 9:40 PM
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