SqueezeNet¶
- class paddle.vision.models. SqueezeNet ( version, num_classes=1000, with_pool=True ) [source]
-
SqueezeNet model from “SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size”
- Parameters
-
version (str) – version of squeezenet, which can be “1.0” or “1.1”.
num_classes (int) – output dim of last fc layer. Default: 1000.
with_pool (bool) – use pool before the last fc layer or not. Default: True.
Examples
-
forward
(
inputs
)
forward¶
-
Defines the computation performed at every call. Should be overridden by all subclasses.
- Parameters
-
*inputs (tuple) – unpacked tuple arguments
**kwargs (dict) – unpacked dict arguments