Drop#2
by Javier Ideami
Title
Drop#2
Artist
Javier Ideami
Medium
Digital Art - Artificial Intelligence Digital Art
Description
Loss Landscape created with data from the training process of a convolutional network. Convnet, imagenette dataset, sgd-adam, bs=16, bn, lr sched, train mod, 250k pts, 20p-interp, log scaled (orig loss nums) & vis-adapted.
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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