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In: AI, Autonomous Vehicles, Deep Machine Learning

Start by building a very simple network: import numpy as np class NeuralNetwork: def __init__(self, x,y): self.input = x self.y = y self.Weights1 = np.random.randn(self.input.shape[1],5) self.Weights2 = np.random.randn(5,1) self.output = np.zeros(self.y.shape) def sigmoid_z(self,x): #create a sigmoid function z = 1/(1 + np.exp(-x)) return z def sigmoid_z_derivative(self,x): return self.sigmoid_z(x)*(1-self.sigmoid_z(x)) def forwardpropogation(self):Continue Reading

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In: AI, Algorithms, Deep Machine Learning

k-means clustering is a method of vector quantization which finds good inter similarity between cluster members and intra-similarity between other clusters. k-means clustering partitions n observations into k clusters in which each observation belongs to the cluster with the nearest mean, These means are chosen so that in the nextContinue Reading