Optimization for Neural Networks: Quest for Theoretical Understandings

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Author
Daneshmand, Hadi
Date
2020-06
Type
    Doctoral Thesis
Rights / license
In Copyright - Non-Commercial Use Permitted
Abstract
Optimization is the key component of deep learning. Increasing depth, which is vital for reaching a good performance for deep neural networks, is realized only by recent advanced optimization techniques, including batch-normalization. Despite substantial empirical bene ts of these techniques, th Show more
Permanent link
https://doi.org/10.3929/ethz-b-000421981
Publication status
published
External links
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Contributors
Examiner: Hofmann, Thomas
Examiner: Bach, Francis
Examiner: Krause, Andreas
Publisher
ETH Zurich
Organisational unit
09462 - Hofmann, Thomas / Hofmann, Thomas  
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