Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning
In this post we’ll show how to use SigOpt’s Bayesian optimization platform to jointly optimize competing objectives in deep learning pipelines on NVIDIA GPUs more than ten times faster than traditional approaches like random search.
Deep learning is enabling a revolution in how we interact with technology in our daily lives, from personalized healthcare to how we drive our cars. NVIDIA AI Co-Pilot combines deep learning and visual computing to enable augmented driving.
Most drones would be lost without GPS. Not this one. A drone developed by NVIDIA researchers navigates even the most far-flung, unmapped places using only deep learning and computer vision powered by NVIDIA Jetson TX1 embedded AI supercomputers.
Traffic. Nobody likes it, but we all have to deal with it. As the world’s cities grow more densely populated, scientists and entrepreneurs are looking for solutions to gridlock, pollution and the other byproducts of a world filled with cars.
Hundreds of Ph.D.s prowled the hallways of the eighth annual GPU Technology Conference in San Jose last week to catch up on the latest developments in AI. Also in attendance were hundreds of teens, getting their first taste of what AI can offer.