model training is typically done on NVIDIA hardware due to its mature deep-learning development environment built around the company’s GPUs. Neural-network training is computationally demanding ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

While deep neural networks are all the rage, the complexity of the major frameworks has been a barrier to their use for developers new to machine learning. There have been several proposals for ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Now, imagine a world where you can train a neural network in Keras, run the trained model through the NNVM optimizing compiler and deploy it to production on MXNet. And imagine that is just one of ...