Sign in
'How neural networks learn' - Part I: Feature Visualization
Sep 17, 2020
|
124 views
|
arXiv link
|
Code
Arxiv Insights
Follow
Softmax
74 videos · undefined sub area
Neural Network
3330 videos · undefined sub area
Recommender System
382 videos · undefined sub area
Deep Learning
1597 videos · undefined sub area
Details
Interpreting what neural networks are doing is a tricky problem. In this video I dive into the approach of feature visualisation. From simple neuron excitation to the Deep Visualisation Toolbox and the Google DeepDream project, let's open up the black box! Links:
Distill.pub
post on Feature Visualisation:
https://distill.pub/2017/feature-visu
... Sander Dieleman post on music recommendation:
http://benanne.github.io/2014/08/05/s
... Blogpost on Deep Feature visualisation:
http://yosinski.com/deepvis
Github link to DeepVis Toolbox:
https://github.com/yosinski/deep-visu
... Paper by Zeiler & Fergus:
https://arxiv.org/abs/1311.2901
If you want to support this channel, here is my patreon link:
https://patreon.com/ArxivInsights
--- You are amazing!! ;) If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight:
https://pensight.com/x/xander-steenbr
...
Category: Research Paper
Comments
loading...
Reactions
(0)
| Note
📝 No reactions yet
Be the first one to share your thoughts!
Reactions
(0)
Note
loading...
Recommended
18:54
Real Talk with Airbnb Machine Learning Engineer
Springboard
| Jun 1, 2020
13:53
Deep Learning for Content Creation - Deqing Sun, Winner of CVPR 2020 PAMI Awards
CrossMinds Editorial Team
| Jun 16, 2020
4:37
Introduction to Recommender Systems
AlexRen@CrossMinds.ai
| Jun 26, 2020
