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SqueezeNet: Efficient CNN Architecture by pukkapad is a document available to read on EtoBox.

What is SqueezeNet: Efficient CNN Architecture about?

The document proposes a new small CNN architecture called SqueezeNet that achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters. SqueezeNet has several advantages over larger CNNs including being more efficient for distributed training, requiring less bandwidth for model updates, and being feasible to deploy on devices with limited memory like FPGAs. The paper describes the SqueezeNet architecture and evaluates its performance, then explores ways to further compress the model size below 0.5M

Author

pukkapad

Language

EN