Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech …

Built on CUDA-X, NVIDIA’s unified programming model provides a way to develop deep learning applications on the desktop or datacenter, and deploy them to datacenters, resource …

DL frameworks offer building blocks for designing, training, and validating deep neural networks through a high-level programming interface.

Developed by NVIDIA, fVDB is an open-source deep learning framework for sparse, large-scale, high-performance spatial intelligence. It builds NVIDIA-accelerated AI operators on top of …

Dec 1, 2022 · Deep learning algorithms enable end-to-end training of NLP models without the need to hand-engineer features from raw input data. Below is a list of popular deep neural …

The days of raw speed being the only metric that matters are behind us. Now it’s about throughput, efficiency, and economics at scale. As AI evolves from providing one-shot …

Nov 3, 2015 · The term deep learning originated from new methods and strategies designed to generate these deep hierarchies of non-linear features by overcoming the problems with …