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A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE
To mitigate the computational complexity, recently, a hybrid approach has been proposed, which uses ResNet as a backbone architecture and replaces a part of its convolution layers with an MHSA (Multi-Head Self-Attention) mechanism.
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