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You're reading from  Deep Learning for Computer Vision

Product typeBook
Published inJan 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295628
Edition1st Edition
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Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
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Deployment of models in devices


TensorFlow models can be deployed in mobile devices too. Mobile devices include smartphones, drones, home robots and so on. Billions of smartphones can have applications of computer vision which can use deep learning. One can take a photo and search, stream a video with scenes tagged and so on. Deploying in mobile devices means that the deep learning model is present on the device and inference happens on the device. Models deployed on the device helps in privacy issues. In the following topics, we will discuss how to deploy them across various mobile platforms.

Jetson TX2

Jetson TX2 is an embedding device supplied by NVIDIA specifically efficient AI computing. Jetson TX2 is lightweight, compact and hence suitable for deployment in drones, public places and so on. It also ships preinstalled TensorRT which is a runtime for TensorFlow. You can buy Jetson and flash install Ubuntu, CUDA, CUDNN before installing TensorFlow. Clone https://github.com/jetsonhacks/installTensorFlowTX2...

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Deep Learning for Computer Vision
Published in: Jan 2018Publisher: PacktISBN-13: 9781788295628

Author (1)

author image
Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani