Vamsi Krishna Kavuru vamsikavuru

##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 updatePerceptron(X, y, W, learn_rate = 0.005):
	del_w = np.zeros(W.shape)
	n_records = len(X)
	for i in range(n_records):
	pred = prediction(X[i], W)
	# error for the probability of class 1 and class 2 is the same
	# so we can calculate error with any one of them
	error = y[i] - pred
	# The gradient descent step, the error times the inputs
	del_w += error * X[i]