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MP neuron
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MODEL
Model is the approximation function that we assume holds the relation between the training input and output
An example is y = mx+c , where m is the parameter
When specifying a model , we need to specify what parameters has to be learnt, what kind of input it takes and what output it gives
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- Note on MP neuron , created by Vijay baskar on 23/11/2019.
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- Vijay baskar
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