##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
| from scipy.misc import imread, imresize | |
| from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, merge, Reshape, Activation | |
| from keras.models import Model | |
| from keras.regularizers import l2 | |
| from keras.optimizers import SGD | |
| from googlenet_custom_layers import PoolHelper,LRN | |
| def create_googlenet(weights_path=None): |