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Record
Title
Transferability of features from multiple depths of a deep convolutional neural network
Type
Student Paper
Publ. year
2018
Author/s
Widell, Emil; Edström, Jesper
Department/s
Mathematics (Faculty of Engineering)
In LUP since
2018-05-30
Downloads

Total This Year This Month
410 39 0
 Downloads per Country

United States of America
112 (27%)
Sweden
67 (16%)
Germany
40 (10%)
China
24 (6%)
India
17 (4%)
France
16 (4%)
Russian Federation
12 (3%)
United Kingdom of Great Britain and Northern Ireland
12 (3%)
Brazil
11 (3%)
Hong Kong (China)
8 (2%)
Taiwan (China)
8 (2%)
Morocco
6 (1%)
Unknown
6 (1%)
Singapore
6 (1%)
South Korea
5 (1%)
Japan
5 (1%)
Canada
4 (1%)
Australia
4 (1%)
Indonesia
3 (1%)
Iraq
3 (1%)
Viet Nam
3 (1%)
Spain
3 (1%)
Croatia
3 (1%)
Finland
2 (0%)
Czechia
2 (0%)
Turkiye
2 (0%)
Belarus
2 (0%)
Netherlands (Kingdom of the)
2 (0%)
Chile
2 (0%)
Egypt
2 (0%)
Thailand
2 (0%)
Saint Vincent and the Grenadines
1 (0%)
Switzerland
1 (0%)
Sri Lanka
1 (0%)
Nigeria
1 (0%)
Bulgaria
1 (0%)
Portugal
1 (0%)
South Africa
1 (0%)
Italy
1 (0%)
Macedonia
1 (0%)
Malaysia
1 (0%)
Poland
1 (0%)
Ukraine
1 (0%)
Belgium
1 (0%)
Dominican Republic
1 (0%)
Greece
1 (0%)
Mexico
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-05-28 12:58:00