# SqueezeNext

This repository contains the Caffe implementation of SqueezeNext.
Each directory contains the network definition along with the solver parameters used for
training. For visualizing each architecture you can use [netscope](http://ethereon.github.io/netscope/#/editor) ( you need to copy the train_val.prototxt files).
For details of each architecture please see this [paper](https://arxiv.org/abs/1803.10615).


The corresponding trained caffemodel files are also available [here](). All
networks were trained using [IntelCaffe](https://github.com/intelcaffe/caffe/)
on 32 Intel KNightsLanding (KNL) using the same hyper-parameters.  Fine-tuning
the hyper-parameters for each model may lead to better results. Our goal has been
to show the general trend but please contact us if you got new results.