(编辑)环境:
plee@sos-build:/usr/local/include/boost$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 11.10
Release: 11.10
Codename: oneiric
plee@sos-build:/usr/local/include/boost$ uname -a
Linux sos-build 3.0.0-12-generic #20-Ubuntu SMP Fri Oct 7
我有一个假设性的问题:是否可以用可变的输入大小来训练Conv3D?
样本dim =长度x宽度x深度;每个样本的深度是固定的,比方说500。然而,长度x宽度可能会有所不同,例如:
Sample 1 = 50 x 4 x 500
Sample 2 = 7 x 7 x 500
Sample 3 = 10 x 13 x 500
.....
Sample n = 5 x 32 x 500
这些是用于分类问题的,下一类可能有不同的样本大小,例如:
Sample 4 = 6 x 8 x 500 (from class 2)
Sample 5 = 3 x 32 x 500 (from class 2)
...