A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms
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DOI: 10.1155/2022/9485933
Abstract: Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of… read more here.
Keywords: post training; methodology; quantization; training quantization ... See more keywords