USING A MOSFET AS A LAYER OF A MACHINE LEARNING NETWORK
개요
발명자
Paul Henry Chandler SMITH; Mark Edward BAUER
IPC 분류
CPC 분류
In some implementations, a machine learning device may perform, using a metal-oxide-semiconductor field-effect transistor (MOSFET), a computation of a machine learning network, wherein performing the computation of the machine learning network includes: using the MOSFET to implement an activation function of the computation, and performing at least one of: adjusting a transconductance of the MOSFET to modulate a weight of the computation, or adjusting a threshold voltage of the MOSFET to modulate a bias of the computation.
원문 (중국어)
In some implementations, a machine learning device may perform, using a metal-oxide-semiconductor field-effect transistor (MOSFET), a computation of a machine learning network, wherein performing the computation of the machine learning network includes: using the MOSFET to implement an activation function of the computation, and performing at least one of: adjusting a transconductance of the MOSFET to modulate a weight of the computation, or adjusting a threshold voltage of the MOSFET to modulate a bias of the computation.