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AlexNet Should Never Have Worked (Simon Prince)

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AlexNet Should Never Have Worked (Simon Prince)

Why it matters

Simon Prince discusses why AlexNet seemed unlikely to work: the model had 60 million parameters, a 150,000-dimensional input space, and was trained from random weights with noisy gradient descent, yet fit ImageNet.

Discuss: Given AlexNet's scale and noisy-gradient training, what made fitting ImageNet possible?

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Watch: https://www.youtube.com/watch?v=ssD05l4UxmY

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