Abstract
This chapter is a brief explanation about types of neural networks and provides some basic definitions related to feedforward and recurrent neural networks. The other definition given is Back Propagation and it is explained how the networks decrease the error using the feedback. Assembling and validating the neural network is discussed in following.
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