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In the preceding chapters we have seen that a neural network can be taught to recognize patterns by adjusting the weights of the neuron connections. Using the provided neural network class we were able to teach a neural network to learn the XOR problem. We only touched briefly on how the neural network was able to learn the XOR problem. In this chapter we will begin to see how a neural network learns.