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AlexNet, created by Alex Krizhevsky and collaborators in 2012, was one of the earliest deep convolutional neural networks to deliver groundbreaking results on large-scale image tasks like ImageNet. A major challenge in training deep networks is overfitting, where a model memorizes the training data and fails on new examples. AlexNet introduced several strategies to fight this. One of the most important was dropout, which randomly disables neurons during training so the model doesn’t become overl
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