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A multi-layer back propagation neural net has 10 inputs, 2 hidden layers with 5 sigmoid units each, and 30 outputs. How many weight updates happen

A multi-layer back propagation neural net has 10 inputs, 2 hidden layers with 5 sigmoid units each, and 30 outputs. How many weight updates happen per iteration in Gradient descent and Stochastic gradient descent.

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