FPGA implementation of back propagation neural network
This project presented a backpropagation neural network on FPGA which can conduct inference and training processes for linear and non-linear problems. The network structure chosen contains 3 input nodes, one hidden layer with three neuron units and 1 output node. In addition, this project compare...
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格式: | Thesis-Master by Coursework |
語言: | English |
出版: |
Nanyang Technological University
2022
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在線閱讀: | https://hdl.handle.net/10356/159255 |
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機構: | Nanyang Technological University |
語言: | English |