Deep learning: a Bayesian perspective

DOI10.1214/17-BA1082zbMath1386.68139arXiv1706.00473MaRDI QIDQ1699718

Nicholas G. Polson, Vadim Sokolov

Publication date: 23 February 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.00473

zbMATH Keywords

predictiontensorflowartificial intelligencepattern matchingmachine learningBayesian hierarchical modelsdeep learningLSTM models

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• TensorFlow
• XGBoost
• BASS

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