[Retracted] A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms

<div>LSTM quantization results on the PTB dataset.</div>

Computational Intelligence and Neuroscience

fig9

Figure 9

Figure 9: [Retracted] A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms 

Figure 9 | [Retracted] A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms 