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A Tensorflow SqueezeNet implementation
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A Tensorflow SqueezeNet implementation of the research

What is SqueezeNet?

SqueezeNet is a convolutional neural network with 80.3% top-5 accuracy on the ImageNet dataset. This architecture aims to signifanctly reduce the size of the model.


  • Building the network
  • Training the network on imagenet
    • Currently published pre-trained weights cannot be used in TensorFlow, the goal of this project is to produce easy-to-use save files.
  • Neural Style Transfer ( on mobile devices
    • Running on mobile devices in reasonable time without sacraficing quality too much like other feed-forward approaches.


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