Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs

Dingyi Dai, Yichi Zhang, Jiahao Zhang +4

Quantization is a crucial technique for deploying deep learning models on resource-constrained devices, such as embedded FPGAs. Prior efforts mostly focus on quantizing matrix mult…