Concetenate two alexnet to form one architecture
1 view (last 30 days)
Show older comments
Hi,
I'm using Alexnet and want to fuse two signals to observe the performance compared to individual training. I see that it is possible to do that by training these two inputs seperately and fuse the last activation maps before the first fully connected layer. So the network combines both features and classifies like a single architecture. However I don't know how to concetenate two layers to form a single one and classify for AlexNet or any other pre-trained network. Do you know how to do that? Thanks.
0 Comments
Answers (0)
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!