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Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs.
Dingyi Dai
Yichi Zhang
Jiahao Zhang
Zhanqiu Hu
Yaohui Cai
Qi Sun
Zhiru Zhang
Published in:
CoRR (2024)
Keyphrases
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fixed point
deep learning
unsupervised learning
sufficient conditions
machine learning
unsupervised feature learning
dynamical systems
weakly supervised
mental models
belief propagation
floating point
three dimensional
fixed point theorem
object detection
image processing
free energy
data mining