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  3. 1. multi-layer bp neural networks have no proof of

1. Multi-layer BP neural networks have no proof of converging to an optimal solution. Is this...

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Programming

1. Multi-layer BP neural networks have no proof of converging toan optimal solution. Is this true? If it is, then why do we botherto use them?

1. What is the fundamental equation that guides changes to aweight wij in a BP network. Describe its components.

Answer & Explanation Solved by verified expert
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1 ANSWER GIVENTHAT Backpropagation short for backwardpropagation of errors is a mechanism used to update theweights using gradient descent It calculates thegradient of the error function with respect to the neural networksweights The calculation proceeds backwards through thenetworkGradient descent is an iterative optimizationalgorithm for finding the minimum of a function in our case wewant to minimize th error    See Answer
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