[vgg] Update to official vgg16 model
authorParichay Kapoor <pk.kapoor@samsung.com>
Tue, 8 Dec 2020 04:32:41 +0000 (13:32 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Thu, 10 Dec 2020 10:15:32 +0000 (19:15 +0900)
commit49c34a75725a496b0a2de9a2f5766724d849cf15
tree7dca2b029ebc5bc5c3cda28707cd646d5bc8c768
parenta26d651b03b2b78198098047fbe8b2f8e9f8a9a1
[vgg] Update to official vgg16 model

Update the nntrainer and tensorflow to use official VGG16 model architecture
The FC layers setup is different as the cifar100 dataset has just 100 output classes
than 1000 classes of the imagenet.
Further, the number of epochs are reduced to 1.
When training, this can be increased appropriately.

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

Signed-off-by: Parichay Kapoor <pk.kapoor@samsung.com>
Applications/VGG/Tensorflow/vgg_keras.py
Applications/VGG/res/vgg.ini