Modern neural networks have a strange efficiency problem. They can contain millions or billions of parameters, yet many of those connections may contribute very little to the final prediction. Dense models activate nearly everything by…
Modern neural networks have a strange efficiency problem. They can contain millions or billions of parameters, yet many of those connections may contribute very little to the final prediction. Dense models activate nearly everything by…