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docs/api/paddle/vision/models/ResNeXt_cn.rst
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ResNeXt
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-.. py:class:: paddle.vision.models.ResNeXt(layers=layers, cardinality=cardinality, num_classes=1000, with_pool=True)
+.. py:class:: paddle.vision.models.ResNeXt(layers=50, cardinality=32, num_classes=1000, input_image_channel=3, data_format="NCHW")
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ResNeXt模型,来自论文 `"Aggregated Residual Transformations for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ 。
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