This paper describes a Super-Skinny Convolutional Neural Network (SS-CNN) and its implementation on a Cyclone IVE field programmable gate array (FPGA), ...
In summary, our proposed logic-only design on a single-hidden-layer network is able to detect handwritten digits with a significant speedup, and maintain a ...
This paper describes a Super-Skinny Convolutional Neural Network and its implementation on a Cyclone IVE field programmable gate array (FPGA), ...
This paper describes a Super-Skinny Convolutional Neural Network (SS-CNN) and its implementation on a Cyclone IVE field programmable gate array (FPGA), ...
PDF | This paper presents the first FPGA SoC implementation solution to the hand-written multi-digit numbers recognition problem. Our proposed solution.
... CNN model for handwritten digit recognition. And after data quantification, this CNN model is finally deployed on this heterogeneous FPGA system. Under the ...
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Nov 5, 2019 · The objective of this thesis is to implement a CNN on an FPGA with few hardware resources and low power consumption. The CNN we implement is for ...
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What algorithm is used in handwritten digit recognition?
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This repository presents an implementation of a fully connected Neural Network used for the recognition of handwritten digit.
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The computational speed of handwritten numeral digit recognition has been greatly improved by using hardware accelerator in the past few years. For example, two ...
FPGA Implementation of CNN for Handwritten Digit Recognition
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A manual hardware-level design (i.e., RTL) CNN reconfigurable IP core method is proposed to construct the FPGA basic unit of the CNN structure, ...
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