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3.5 KiB
3.5 KiB
Xception
Xception is a convolutional neural network architecture that relies solely on depthwise separable convolution layers.
The weights from this model were ported from Tensorflow/Models.
{% include 'code_snippets.md' %}
How do I train this model?
You can follow the timm recipe scripts for training a new model afresh.
Citation
@article{DBLP:journals/corr/ZagoruykoK16,
@misc{chollet2017xception,
title={Xception: Deep Learning with Depthwise Separable Convolutions},
author={François Chollet},
year={2017},
eprint={1610.02357},
archivePrefix={arXiv},
primaryClass={cs.CV}
}