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Interpretability in Deep Learning
Interpretability in Deep Learning
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This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.
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  • Authors Ayush Somani, Alexander Horsch, Dilip K. Prasad
  • ISBN13 9783031206382
  • ISBN10 303120638X
  • Pages 466
  • Published 2023
  • Fecha de publicación 01/05/2023
  • Language German, French
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Interpretability in Deep Learning
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Interpretability in Deep Learning (German, French)

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