Convolutional neural network optimization mechanism

Convolutional neural network optimization mechanism

A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and qu...

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Bibliographische Detailangaben
Hauptverfasser: Chen, Xiaoming, Ould-Ahmed-Vall, Elmoustapha, Yao, Anbang, Jin, Jingyi, Lakshmanan, Barath, Ashbaugh, Ben J, Appu, Abhishek R, Tang, Ping T, Nealis, Kevin, Koker, Altug, Srivastava, Dhawal, Ray, Joydeep, Ma, Liwei, Macpherson, Mike B, Bottleson, Jeremy, Strickland, Michael S, Shpeisman, Tatiana
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.