2017 – AI, Deep Learning, and GPUs
Armed with huge data sets and increasingly powerful GPUs, neural network architectures got bigger and better, helping to close the human-machine performance gap in two prominent AI workloads: natural language processing (NLP) and computer vision.
Armed with huge data sets and increasingly powerful GPUs, neural network architectures got bigger and better, helping to close the human-machine performance gap in two prominent AI workloads: natural language processing (NLP) and computer vision.
two prominent AI workloads, huge data sets, neural network architectures, human-machine performance gap, natural language processing, powerful GPUs, computer vision, NLP
