LINEAR NEURAL RECONSTRUCTION FOR DEEP NEURAL NETWORK COMPRESSION

A method and apparatus for performing deep neural network compression of convolutional and fully connected layers using a linear approximation of their outputs with information, such as in matrices representing weights, biases and non-linearities, to iteratively compress a pre-trained deep neural ne...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Robin, David A. R, Jain, Swayambhoo
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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