Politecnico di Milano
Purdue School of Engineering and Technology, IUPUI
University of Southern California
University of California, Los Angeles
Indian Institute of Technology (IIT) Bombay
The motive of this article is to demonstrate the idea of distributed computing in the context of training large scale deep learning (DL) models.
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.
When Artificial Intelligence involves some type of sensitive data, the problem is how to maintain the data privacy and security.
Recurrent Neural Networks have been the recent state-of-the-art methods for various problems whose available data is sequential in nature.