Mixed Precision Training for NLP and Speech Recognition with OpenSeq2Seq

Artificial Intelligence, Facebook ConvS2S, FP16, Google NMT, Google Transformer, Horovod, machine learning and AI, Mixed Precision, Natural Language Processing, NLP, openseq2seq, speech recognition, TensorFlow

Nadeem Mohammad, posted Oct 09 2018

The success of neural networks thus far has been built on bigger datasets, better theoretical models, and reduced training time. Sequential models, in particular, could stand to benefit from even more from these.

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New GPU Computing Model for Artificial Intelligence

Features, News, Automotive, Deep Learning, Image Processing, Life Sciences, Natural Language Processing, Robotics

Nadeem Mohammad, posted Jan 12 2016

Yann LeCun, Director of Facebook AI Research, invited NVIDIA CEO Jen-Hsun Huang to speak at “The Future of AI” symposium at NYU, where industry leaders discussed the state of AI and its continued advancement.

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