In deep learning and machine learning, having a large enough dataset is key to training a system and getting it to produce results. So what does a ML researcher do when there just isn’t enough publicly accessible data? Enter the MLCommons Association, a global engineering consortium with the aim of making ML better for everyone. Read article >
The post MLCommons’ David Kanter, NVIDIA’s David Galvez on Improving AI with Publicly Accessible Datasets appeared first on NVIDIA Blog.
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