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hub / github.com/AtlasAnalyticsLab/AdaFisher / densenet201

Function densenet201

Image_Classification/src/models/densenet.py:264–272  ·  view source on GitHub ↗

r"""Densenet-201 model from `"Densely Connected Convolutional Networks" `_ Args: memory_efficient (bool) - If True, uses checkpointing. Much more memory efficient, but slower. Default: *False*. See `"paper" <https://arxiv.org/pdf/1707.

(**kwargs)

Source from the content-addressed store, hash-verified

262
263
264def densenet201(**kwargs):
265 r"""Densenet-201 model from
266 `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_
267
268 Args:
269 memory_efficient (bool) - If True, uses checkpointing. Much more memory efficient,
270 but slower. Default: *False*. See `"paper" <https://arxiv.org/pdf/1707.06990.pdf>`_
271 """
272 return _densenet('densenet201', 32, (6, 12, 48, 32), 64, **kwargs)

Callers 1

get_networkFunction · 0.90

Calls 1

_densenetFunction · 0.85

Tested by

no test coverage detected