Brian McMahan braingineer

##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

	def matprint(mat, fmt="g"):
	col_maxes = [max([len(("{:"+fmt+"}").format(x)) for x in col]) for col in mat.T]
	for x in mat:
	for i, y in enumerate(x):
	print(("{:"+str(col_maxes[i])+fmt+"}").format(y), end=" ")
	print("")

	# Try it!
	import numpy as np