yusukekyokawa
commented
4 years ago How does a user's prior experience with deep learning impact accuracy? We present an initial study based on 31 participants with different levels of experience. Their task is to perform hyperparameter optimization for a given deep learning architecture. The results show a strong positive correlation between the participant's experience and the final performance. They additionally indicate that an experienced participant finds better solutions using fewer resources on average. The data suggests furthermore that participants with no prior experience follow random strategies in their pursuit of optimal hyperparameters. Our study investigates the subjective human factor in comparisons of state of the art results and scientific reproducibility in deep learning
書誌情報
論文リンク
http://arxiv.org/abs/2008.05981v1
著者/所属機関
conf/journal
year
2020
どんな論文か？
Deep Learningにおけるハイパラチューニングの経験値の差について検証した論文
新規性
手法
結果
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