21 citations · 61 across the 19 of their papers we have counts for
3 papers · 1 filter
An Efficient Hardware-Oriented Dropout Algorithm
Yoeng Jye Yeoh, Takashi Morie, Hakaru Tamukoh
This paper proposes a hardware-oriented dropout algorithm, which is efficient for field programmable gate array (FPGA) implementation. In deep neural networks (DNNs), overfitting o…
Network with Sub-Networks
Ninnart Fuengfusin, Hakaru Tamukoh
We introduce network with sub-networks, a neural network which its weight layers could be detached into sub-neural networks during inference. To develop weights and biases which co…
An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach
Masatoshi Yamaguchi, Goki Iwamoto, Hakaru Tamukoh +1
A time-domain analog-weighted-sum calculation model based on a pulse-width modulation (PWM) approach is proposed. The proposed calculation model can be applied to any types of netw…