QPA: A quantization-aware piecewise polynomial approximation methodology for hardware-efficient implementations
H Geng, X Chen, N Zhao, Y Du… - IEEE Transactions on Very …, 2023 - ieeexplore.ieee.org
Piecewise polynomial approximation (PPA) on nonlinear functions plays an important role in
high-precision computing. In this article, we proposed QPA, an integration of error-flattened …
high-precision computing. In this article, we proposed QPA, an integration of error-flattened …
An Efficient area Neural Network Implementation using tan-sigmoid Look up Table Method Based on FPGA
MT Ali, BH Abd - 2022 3rd International Conference for …, 2022 - ieeexplore.ieee.org
Field-programmable gate arrays (FPGAs) are used in this paper to create neural networks in
hardware (FPGAs). A neural network's different multipliers limit the size of the network that …
hardware (FPGAs). A neural network's different multipliers limit the size of the network that …
[PDF][PDF] The Proposition of Three Approaching Ways to Implement Tan-sigmoid Activation Function in FPGA
MT Ail, BH Abed - Engineering and Technology Journal, 2022 - iasj.net
Neurons in the human brain have side connections with neighbors to know behavior
patterns for the neural network [1]. Artificial Neural Networks (ANNs) are influenced by …
patterns for the neural network [1]. Artificial Neural Networks (ANNs) are influenced by …
Efficient Hardware Implementation of Nonlinear Activation Function For Inference Model
S Chunarkar, SR Chiluveru - 2024 21st International SoC …, 2024 - ieeexplore.ieee.org
This paper presents a novel piecewise linear (PWL) approximation method for designing a
highly precise nonlinear activation function tailored for hardware implementation of …
highly precise nonlinear activation function tailored for hardware implementation of …