BIT INTERPRETATION FOR CONVOLUTIONAL NEURAL NETWORK INPUT LAYER

• Main Authors: DUERICHEN ROBERT, PETERS CHRISTIAN, ROCZNIK THOMAS
• Format: Patent
• Language: English; Korean
• Published: 09.06.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

In order to efficiently execute deep convolutional neural networks (CNNs) on edge devices (e.g., wearable device such as Apple Watch or FitBit), it is necessary to reduce a bit width of network parameters down to 1-bit. Typically, binarization at a first layer of the CNN is not performed because the...