r"""Densenet-161 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)
| 240 | |
| 241 | |
| 242 | def densenet161(**kwargs): |
| 243 | r"""Densenet-161 model from |
| 244 | `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ |
| 245 | |
| 246 | Args: |
| 247 | memory_efficient (bool) - If True, uses checkpointing. Much more memory efficient, |
| 248 | but slower. Default: *False*. See `"paper" <https://arxiv.org/pdf/1707.06990.pdf>`_ |
| 249 | """ |
| 250 | return _densenet('densenet161', 48, (6, 12, 36, 24), 96, **kwargs) |
| 251 | |
| 252 | |
| 253 | def densenet169(**kwargs): |
no test coverage detected