A Survey on FPGA based MLP Realization for On-chip Learning
نویسنده
چکیده
The objective of this work is to review the development steps of implementation of MLP neural network in FPGA device, during the recent years. Each development to implement the neural architecture and activation function effectively were studied to take the work one step forward to implement a cost effective, compact and effective on-chip trained neural network. Finally the off-chip trained MLP for XOR problem is implemented on different hardware platform to show the importance of hardware platform selection for on-chip training.
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