Training Neural Networks for Execution on Approximate Hardware
Published in TinyML Research Symposium (TinyML), 2023
Recommended citation: Li, T., Li, S. and Gupta, P., 2023. Training Neural Networks for Execution on Approximate Hardware. arXiv preprint arXiv:2304.04125. https://arxiv.org/pdf/2304.04125.pdf
Proposed training optimizations to significantly improve the training time for neural networks to be executed on approximate hardware, including analog computing, stochastic computing, and approximate arithmetic.
BibTeX citation:
@article{li2023training, title={Training Neural Networks for Execution on Approximate Hardware}, author={Li, Tianmu and Li, Shurui and Gupta, Puneet}, journal={arXiv preprint arXiv:2304.04125}, year={2023} }