Feature Visualization


68 bookmarks. First posted by danbri 12 days ago.


How neural networks build up their understanding of images.

"These patterns seem to be the images kind of cheating, finding ways to activate neurons that don’t occur in real life. If you optimize long enough, you’ll tend to see some of what the neuron genuinely detects as well, but the image is dominated by these high frequency patterns."
ai 
4 days ago by hanyu
How neural networks build up their understanding of images
machinelearning  visualization 
8 days ago by vrt
"This article focusses on feature visualization. While feature visualization is a powerful tool, actually getting it to work involves a number of details. In this article, we examine the major issues and explore common approaches to solving them. We find that remarkably simple methods can produce high-quality visualizations. Along the way we introduce a few tricks for exploring variation in what neurons react to, how they interact, and how to improve the optimization process."
neural-net  analysis  visualization 
10 days ago by arsyed
This article focusses on feature visualization. While feature visualization is a powerful tool, actually getting it to work involves a number of details. In this article, we examine the major issues and explore common approaches to solving them. We find that remarkably simple methods can produce high-quality visualizations. Along the way we introduce a few tricks for exploring variation in what neurons react to, how they interact, and how to improve the optimization process.
machinelearning  deeplearning  ai  visualization  features 
10 days ago by drmeme
This article focusses on feature visualization. While feature visualization is a powerful tool, actually getting it to work involves a number of details. In this article, we examine the major issues and explore common approaches to solving them. We find that remarkably simple methods can produce high-quality visualizations. Along the way we introduce a few tricks for exploring variation in what neurons react to, how they interact, and how to improve the optimization process.
neural-networks  inverse-problems  generative-art  to-write-about 
10 days ago by Vaguery
How neural networks build up their understanding of images
deeplearning  machinelearning  visualisation  neuralnetworks  google  science  computing 
10 days ago by garrettc
How neural networks build up their understanding of images
deep-learning  visualization  machine-learning  neural-networks 
11 days ago by mark.larios
How neural networks build up their understanding of images
visualization  ai  deeplearning  media  images 
11 days ago by peterb
There is a growing sense that neural networks need to be interpretable to humans. The field of neural network interpretability has formed in response to these concerns. As it matures, two major threads of research have begun to coalesce: feature visualization and attribution.

This article focusses on feature visualization. While feature visualization is a powerful tool, actually getting it to work involves a number of details. In this article, we examine the major issues and explore common approaches to solving them. We find that remarkably simple methods can produce high-quality visualizations. Along the way we introduce a few tricks for exploring variation in what neurons react to, how they interact, and how to improve the optimization process.
visualization  neural-network 
12 days ago by Finkregh
I was reading latest and realized I longer needed to open up tab after tab goog…
from twitter
12 days ago by mchung
How neural networks build up their understanding of images
12 days ago by cwilkes
How neural networks build up their understanding of images
12 days ago by martinbalfanz
How neural networks build up their understanding of images
visualization  ai  neuralnetwork 
12 days ago by cothrun
RT @ch402: What do neural nets see? You may be surprised. @zzznah @ludwigschubert & I explore.
machine_learning  TensorFlow 
12 days ago by amy
How neural networks build up their understanding of images
hackernews  machinelearning 
12 days ago by briandk
New (absolutely beautiful) paper on feature visualization, by , &
from twitter_favs
12 days ago by randallr
“Examples like these suggest neurons are not necessarily the right semantic units for understanding neural nets” 🤔
from twitter
12 days ago by nirum
What do neural nets see? You may be surprised. & I explore.
from twitter_favs
12 days ago by hustwj
exciting new post on feature visualization!

warning: beautiful and disturbing i…
ai  deeplearning  feature  ML  machine  learning  from twitter_favs
12 days ago by jwtulp
Feature Visualization - a new Distill article by & .
from twitter_favs
12 days ago by danbri