FPGA Implementation of Stochastic Approximate Multipliers for Neural Networks
V Saravanan, R Dayana, MT Rani… - 2024 First …, 2024 - ieeexplore.ieee.org
In the age of edge computing, tiny and efficient neural network (NN) architectures are in high
demand. Existing deterministic multipliers in neural networks suffer from high power …
demand. Existing deterministic multipliers in neural networks suffer from high power …
Simulation Model of Cryptographic Data Protection Based on a Neural-Like Network with Nonlinear Synaptic Connections
A method of cryptographic data protection using neural-like networks based on the model of
geometric transformations is proposed. Algorithms for non-iterative training of neural-like …
geometric transformations is proposed. Algorithms for non-iterative training of neural-like …
Implementation of Base Components of Neuro-like Cryptographic Data Protection Systems on FPGA
The implementation of the base components of neuro-like cryptographic data protection
systems using FPGA is considered. The structure of the data encryption module using …
systems using FPGA is considered. The structure of the data encryption module using …
Design and optimization of an on-chip Artificial neural network on FPGA for recognizing handwritten digits
RR Kumbhar, P Radhika… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Today's requirement for massive computation power and the inefficiency of deep learning
applications are the significant drawbacks holding back the seamless integration of machine …
applications are the significant drawbacks holding back the seamless integration of machine …