CEVA Accelerates Deep Neural Networks

Traditional computer architectures are really great when it comes to tasks that involve a lot of raw number crunching, like modelling the evolution of a galaxy involving hundreds of billions of stars, for example. However, they typically perform poorly at many tasks that humans excel at, such as identifying one of man’s best friends. The human brain is based on networks of neurons that perform all of our cognitive processing, including audio and visual processing. These networks develop over time as data is collected and analyzed. For many years, researchers have strived to mimic the way the brain works by creating artificial neural networks. We start with a training phase in which the network is exposed to a large amount of data (potentially hundreds of thousands of samples). This training‚Ķ

Link to Full Article: CEVA Accelerates Deep Neural Networks

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