” This design addresses the vanishing gradient trouble, a typical problem in deep networks where by gradients get more compact and smaller because they backpropagate by way of layers, making it difficult to train very deep networks.ResNeXt-fifty is undoubtedly an architecture depending on modules with 32 parallel paths. It utilizes cardinality to