FPGA-Based Deep Neural Network Implementation for Handwritten Digit Recognition
This paper presents a field programmable gate array (FPGA)–based implementation of a deep neural network (DNN) for handwritten digit recognition. We propose the use of a fully connected four-layer neural network with the hidden layers implementing the ReLU activation function and the output layer ba...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/am/8901861 |
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