NVIDIA Corporation
MASTER TRANSFORM ARCHITECTURE FOR DEEP LEARNING

Last updated:

Abstract:

Apparatuses, systems, and techniques to transform input data for training neural networks. In at least one embodiment, one or more data transforms are identified in a sequence of data transforms and combined into one or more master data transforms to be performed by one or more parallel processing units in order to prepare data for training an untrained neural network.

Status:
Application
Type:

Utility

Filling date:

18 Dec 2019

Issue date:

24 Jun 2021