ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
0
views
0
references
Top references
cited by
2
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,271
similar
All similar
Record
: found
Abstract
: not found
Conference Proceedings
: not found
SVCCA: Singular vector canonical correlation analysis for deep learning dynamics and interpretability
Author(s):
M Raghu
,
J. Gilmer
,
J Yosinski
,
J. Sohl-Dickstein
,
I. GUYON
,
U. von Luxburg
,
S Bengio
,
PAUL M. WALLACH
,
R FERGUS
,
S. V. N. Vishwanathan
Publication date:
2017
Journal:
Proc Adv Neural Inf Process Syst
Read this article at
ScienceOpen
Bookmark
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Core Readings in Statistical Mediation Analysis
Data availability:
Comments
Comment on this article
Sign in to comment
Similar content
1,271
Deep Learning Searches for Vector-Like Leptons at the LHC and Electron/Muon Colliders
Authors:
António P. Morais
,
António Onofre
,
Felipe F. Freitas
…
Applications of Support Vector Machine (SVM) Learning in Cancer Genomics
Authors:
The influence of vector‐borne disease on human history: socio‐ecological mechanisms
Authors:
Tejas Athni
,
Marta Shocket
,
Lisa I. Couper
…
See all similar
Cited by
2
Review Study of Interpretation Methods for Future Interpretable Machine Learning
Authors:
Jian-Xun Mi
,
An-Di Li
,
Li-Fang Zhou
Studying the Evolution of Neural Activation Patterns During Training of Feed-Forward ReLU Networks
Authors:
David Hartmann
,
Daniel Franzen
,
Sebastian Brodehl
See all cited by