If there is any coveted prize at this early stage of deep learning, especially since the pool of users ... or more correctly and universally, as a computational graph with a vertex representing some ...

Translational neuroscience is deeply engaged with the notion that the brain functions on computational principles, including ...

"We just call them computational graphs. All machine learning models ... both on the hardware and the software layer. The lowdown on deep learning: from how it relates to the wider field of ...

They’re crucial, say deep-learning advocates, because the brain itself is still so much more complex than any of today’s neural networks. “You need lots of computational resources to make th ...

Dubbed CNTK — short for Computational Network Toolkit — the open-source software is a unified deep-learning toolkit that ... steps via a directed graph. It’s proven significantly more ...

As applications of deep learning widen in many industries ... and compiling them from eager execution to optimized computational graph running on CPU or FPGA backends may not be feasible due ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...