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” This design addresses the vanishing gradient issue, a common situation in deep networks where gradients get lesser and more compact as they backpropagate via levels, rendering it hard to train very deep networks.Critical milestones incorporate the development of the 1st algorithm for digital picture processing in the early seventies and the sub