Get the Best Performance for Your Neural Networks with TensorRT

Research, Automotive, Embedded, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 03 2017

NVIDIA TensorRT is a high-performance deep learning inference library for production environments. Power efficiency and speed of response are two key metrics for deployed deep learning applications, because they directly affect the user experience and the cost of the service provided. Tensor RT automatically optimizes trained neural networks for run-time performance, delivering up to 16x higher energy

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Deploying Deep Neural Networks with NVIDIA TensorRT

Features, Deep Learning, Deep Neural Networks, Inference, TensorRT

Nadeem Mohammad, posted Apr 02 2017

NVIDIA TensorRT is a high-performance deep learning inference library for production environments. Power efficiency and speed of response are two key metrics for deployed deep learning applications, because they directly affect the user experience and the cost of the service provided. Tensor RT automatically optimizes trained neural networks for run-time performance, delivering up to 16x […]

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Sorting Shopping Lists with Artificial Intelligence

Research, Big Data & Data Mining, Cloud, Internet / Communications, Machine Learning & Artificial Intelligence, Retail / Etail, Tesla

Nadeem Mohammad, posted Mar 31 2017

Instacart, an Internet-based grocery delivery service, shares how they are using deep learning to help their tens of thousands personal shoppers be more efficient. “By observing how our shoppers have picked millions of customer orders through our app, we have built models that predict the sequences our fastest shoppers will follow,” mentions Instacart VP of

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Personalized Aesthetics: Recording the Visual Mind using Machine Learning

Features, Deep Learning, Machine Learning, photography, Theano

Nadeem Mohammad, posted Mar 29 2017

Visual aesthetics are very personal, often subconscious, and hard to express.  In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs, and it’s often hard to separate the good images from the visual noise. The question we put forward at EyeEm is: can a machine […]

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Personalized Aesthetics: Recording the Visual Mind

News, Research, CUDA, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Mar 29 2017

Most people in the world own a camera and take photographs—trillions of photos every year. An imminent problem is how to organize, search and re-use our photographs, and deep learning methods have already been successful in such tasks. But visual aesthetics are very personal, often subconscious, and hard to express. In a world with an

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