ImageNet Classification with Deep Convolutional Neural Networks

The 2012 breakthrough by Krizhevsky(of AlexNet fame), Sutskever(Co-Founder at OpenAI), and Hinton(Godfather of AI) with AlexNet revolutionized AI.

By using deep convolutional neural networks and leveraging GPUs for training, they achieved insane accuracy on ImageNet dataset. This not only validated deep learning's potential but also introduced key innovations like ReLU activations, dropout, and data augmentation.

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