In this demonstration we present an SC-based deep nenural network system that is highly accurate and efficient. Our system takes an input image and processes it ...

Our system takes an input image and processes it with a convolutional neural network (CNN) implemented on an FPGA using stochastic computing to recognize the ...

This demonstration presents an SC-based deep nenural network system that takes an input image and processes it with a convolutional neural network ...

This paper proposed the implementation of the stochastic computing multi-layer perceptron (SC-MLP) neural network on an FPGA Xilinx Virtex-7.

Another implementation that can recognize images based on a pre-configured model, using stochastic computing was shown in the work of [3] . Even some ...

The stochastic computing has been adopted to optimize DNN (e.g., convolution neural networks) [10]–[12], which significantly improves the hardware resource and ...

FPGA implementation of a trained CNN model and accelerating the CNN model by parallelizing the operations within layers is proposed and it is observed that ...

This research has reinvented several FPGA-efficient 8-bit SC CNN computing architectures, i.e., SC multiplexer multiply-accumulate, multiply-accumulate function ...

Nov 9, 2020 · Stochastic computing (SC) is an alternative computing domain for ubiquitous deterministic computing whereby a single logic gate can perform ...

Mar 4, 2024 · In this paper, a novel FPGA-scalable SC CNN architecture is reinvented and devised after revisiting the SC theory, contributing to the success ...