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Distributed Training of Deep Learning Models with PyTorch*

The motive of this article is to demonstrate the idea of distributed computing in the context of training large scale deep learning (DL) models.

Автор: Ayan Das Последнее обновление: 15.08.2019 - 12:50
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Object Detection: A Comparison of Performance of Deep Learning Models on Edge Using Intel® Movidius™ Neural Compute Stick and Raspberry PI* 3

Vehicle Detection involves finding whether there is vehicle present or not secondly which type of vehicle is present and how many vehicles are present.

Автор: TEJAS NARAYAN Последнее обновление: 18.04.2019 - 09:03
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Towards Privacy-Preserving Machine Learning

When Artificial Intelligence involves some type of sensitive data, the problem is how to maintain the data privacy and security.

Автор: Kumar, Babloo Последнее обновление: 18.04.2019 - 09:16
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Implementing Attention Models in PyTorch*

Recurrent Neural Networks have been the recent state-of-the-art methods for various problems whose available data is sequential in nature.

Автор: Sumedh Pendurkar Последнее обновление: 15.08.2019 - 12:50