Larq: An Open-Source Library for Training Binarized Neural Networks

Python Submitted 13 September 2019Published 16 January 2020
Review

Editor: @terrytangyuan (all papers)
Reviewers: @sbrugman (all reviews), @casperdcl (all reviews), @EduPH (all reviews)

Authors

Lukas Geiger (0000-0002-8697-9920), Plumerai Team

Citation

Geiger et al., (2020). Larq: An Open-Source Library for Training Binarized Neural Networks. Journal of Open Source Software, 5(45), 1746, https://doi.org/10.21105/joss.01746

@article{Geiger2020, doi = {10.21105/joss.01746}, url = {https://doi.org/10.21105/joss.01746}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {45}, pages = {1746}, author = {Lukas Geiger and Plumerai Team}, title = {Larq: An Open-Source Library for Training Binarized Neural Networks}, journal = {Journal of Open Source Software} }
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python tensorflow keras deep-learning machine-learning binarized-neural-networks quantized-neural-networks efficient-deep-learning

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ISSN 2475-9066