The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice ... being used to connect pool/LRN kernels for CNNs. As the diagram ...

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on co ...

Neural architecture search is an aspect of AutoML, along with feature engineering, transfer learning, and hyperparameter optimization. It’s probably the hardest machine learning problem ...

Depending on the deep learning architecture, data size, and task at hand, we sometimes require 1 GPU, and sometimes, several of them, a decision data scientist needs to make based on known ...

Another good example of the application of deep learning is image classification. Because living organisms process images with their visual cortex, many researchers have taken the architecture of ...