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Deploying Deep Learning Models via IOT Deployment Tools

Deep Learning and Internet of Things (IoT) are some top fields of research in computer science now days. Many researches are going on to incorporate the best of both the fields and to collaborate them into one. Inspired from this, this paper works on using and creating an efficient Deep Learning model for colorizing the image and transport them to remote systems through IoT deployment tools. This paper develops two models, namely Alpha and Beta, for the colorization of the greyscale images. Efficient models are developed to lessen the loss rate to around 0.005. Then the paper uses tools like AWS Greengrass and Docker for the deployment of the model, thus combining Deep Learning with IoT deployment tools.