Class SqueezeNet
java.lang.Object
ai.djl.basicmodelzoo.cv.classification.SqueezeNet
SqueezeNet
contains a generic implementation of Squeezenet adapted from [torchvision
implmentation](https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py)
Squeezenet is an efficient NN used for Image classification. It provides both performance boost and a tiny size. It's a good choice to adopt squeezenet for application runs on Mobile or Edge devices. Implementing the original squeezenet from Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer. "SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND 0.5MB MODEL SIZE"
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Method Summary
Modifier and TypeMethodDescriptionstatic ai.djl.nn.Block
squeezenet
(int outSize) Construct squeezenet v1.1.
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Method Details
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squeezenet
public static ai.djl.nn.Block squeezenet(int outSize) Construct squeezenet v1.1.- Parameters:
outSize
- the number of output classes- Returns:
- squeezenet
Block
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