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NAS-for-CapsNet

A multi-objective Neural Search Algorithm for Capsule Neural Networks

Setup the environment :

Two set of environments are providided for mac m1 and linux users.

For pip users :

pip install -r <linux-requirement.txt> or <mac-requirements.txt>

For conda users :

conda env create -f <linux-environment.yml> or <linux-environment.yml>

Results :

We used a NSGA-II algorithm to optimise CapsNet on inference time and accuracy. Here are the results on MNIST dataset compared to our baselines models.

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A multi-objective Neural Search Algorithm for Capsule Neural Networks

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