FPGA implementation of handwritten number recognition using artificial neural network
Implementation of Deep Learning and Machine Learning Algorithms is always a challenge as they consume a lot of resources and power. In this paper, we have presented a very simple yet efficient way for creating an IP (intellectual property) core for Handwritten Number Recognition for FPGAs. The propo...
| Main Authors: | Mittal, Harsh, Sharma, Abhishek, Perumal, Thinagaran |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/78077/ http://psasir.upm.edu.my/id/eprint/78077/1/FPGA%20implementation%20of%20handwritten%20number%20recognition%20using%20artificial%20neural%20network.pdf |
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