[ Application ] NNTrainer Validation with VGG
authorjijoong.moon <jijoong.moon@samsung.com>
Mon, 5 Oct 2020 11:56:40 +0000 (20:56 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Thu, 15 Oct 2020 04:55:40 +0000 (13:55 +0900)
commitab3e597fc488e760344e4e65ea85ad024fff924e
tree8def2b71ab7f52b37d903a28b55ebd8fdffd181a
parentcf0b46ce699db125feeba190d1b25cef9952632e
[ Application ] NNTrainer Validation with VGG

This PR includes:
  - NNTrainer Validation with VGG Model.
  - Input is cifar100.
    . 100 Classes, 450 Images for train, 50 Images for validation

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

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
Applications/VGG/Tensorflow/dataset.py [new file with mode: 0644]
Applications/VGG/Tensorflow/vgg_keras.py [new file with mode: 0755]
Applications/VGG/gen_input/convert.py [new file with mode: 0755]
Applications/VGG/jni/Android.mk [new file with mode: 0644]
Applications/VGG/jni/Application.mk [new file with mode: 0644]
Applications/VGG/jni/main.cpp [new file with mode: 0644]
Applications/VGG/jni/meson.build [new file with mode: 0644]
Applications/VGG/res/vgg.ini
Applications/VGG/res/vgg_small.ini [new file with mode: 0644]
Applications/meson.build
meson.build