Gradient At A Given Layer Is The Product Of All Gradients At The Previous Layers. True or False
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Gradient at a given layer is the product of all gradients at the previous layers. The given statement is TRUE. This is due to the fact that gradient which is present in the neural network layer is the collections of all gradients that is present in before layer.
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