[Application] Transfer learning example on Resnet-18
authorSeungbaek Hong <sb92.hong@samsung.com>
Mon, 19 Jun 2023 04:54:49 +0000 (13:54 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Fri, 23 Jun 2023 00:55:20 +0000 (09:55 +0900)
commit649db287e0469197fb49678339ed41b3485ead74
treefe3cb0362769e4c93139bc155bfcdabb2d05156e
parent2d5c66be84da8de8c8d5fb1f739f01e9a9ecd14b
[Application] Transfer learning example on Resnet-18

I added transfer learning option to resnet-18 example.

If this option is enabled, then load pre-trained weights
and freeze the weights of backbone(feature extractor).
(It just a simple transfer learning).

You can make pre-trained weights using save_bin function
from our pytorch resnet-18 example.

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Seungbaek Hong <sb92.hong@samsung.com>
Applications/Resnet/jni/main.cpp