tfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow

Python Submitted 31 March 2021Published 22 June 2021
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Editor: @arfon (all papers)
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Authors

Christoph Wick (0000-0003-3958-6240), Benjamin Kühn, Gundram Leifert, Konrad Sperfeld, Tobias Strauß, Jochen Zöllner (0000-0002-3889-6629), Tobias Grüning (0000-0003-0031-4942)

Citation

Wick et al., (2021). tfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow. Journal of Open Source Software, 6(62), 3297, https://doi.org/10.21105/joss.03297

@article{Wick2021, doi = {10.21105/joss.03297}, url = {https://doi.org/10.21105/joss.03297}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {62}, pages = {3297}, author = {Christoph Wick and Benjamin Kühn and Gundram Leifert and Konrad Sperfeld and Tobias Strauß and Jochen Zöllner and Tobias Grüning}, title = {_tfaip_ - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow}, journal = {Journal of Open Source Software} }
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Deep Learning Tensorflow Keras Research High-Level Framework Generic

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