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SqueezeNet is comparatively small compared to VGG and other ResNet-based architectures
The architecture is designed in such a way that it doesn't compromise and performance with less parameteres Review collected by and hosted on G2.com.
SqueezeNet performs well when the dataset is limited. Training with lots of data can reduce the performance of the neural net since the architecture is quite small Review collected by and hosted on G2.com.
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