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SqueezeNet 0
This is a Image Classification model from PyTorch Hub
Reviews (1)
Computer Software
Must try model for CV tasks
Reviewed on Sep 05, 2023
Review provided by G2
What do you like best about the product?
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
The architecture is designed in such a way that it doesn't compromise and performance with less parameteres
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
SqueezeNet can be used in mobile applications that involves computer vision tasks since the model is small and easy to train, evalulate and deploy.
Activation layers can be experimented to improve performance
Activation layers can be experimented to improve performance