Deep Learning’s Diminishing Returns
Cars That Think
SEPTEMBER 24, 2021
Even his inaugural paper was forced to acknowledge the voracious appetite of neural networks for computational power, bemoaning that "as the number of connections in the network increases.the burden on a conventional digital computer soon becomes excessive.". But Rosenblatt's ambitions outpaced the capabilities of his era—and he knew it.
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