Large-Scale Deep Learning on the YFCC100M Dataset

11 Feb 2015Karl NiRoger PearceKofi BoakyeBrian Van EssenDamian BorthBarry ChenEric Wang

We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image and video dataset released to-date. Recent advancements in unsupervised deep neural networks suggest that scaling up such networks in both model and training dataset size can yield significant improvements in the learning of concepts at the highest layers... (read more)

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