inputs = [[2,3],[8,10],[3,6],[4, 9]]

epochs = 10
batch_size = 1

for epoch in range(epochs):
	slope = 0
	intercept = 0
	iterations = length/bach_size
	batch = inputs[0:batch_size]
	for i in range(iterations):
		slope, intercept = updateWeightsGD(slope, intercept, batch);
		batch = inputs[i*batch_size:i*batch_size + batch_size] //without replacement

updateWeightGD(slope, intercept, batch):
	learning_rate = 0.1
	slope_deriv = 0
	inercept_deriv = 0
	N = len(batch)
	for (point in batch):
		x = point[0]
		y = point[1]
		slope_deriv += -2*x * (y - (m*x + b))
		inercept_deriv += -2*(y - (m*x + b))

	//only updating after, not updating in for loop above
	slope -= (m_deriv / float(N)) * learning_rate
    	intercept -= (b_deriv / float(N)) * learning_rate
	return slope, intercept