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Information Bottleneck: Theory and Applications in Deep Learning

by Bernhard C. Geiger
Save 23% Save 23%
Current price ₹5,444.00
Original price ₹7,110.00
Original price ₹7,110.00
Original price ₹7,110.00
(-23%)
₹5,444.00
Current price ₹5,444.00

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Book cover type: Hardcover
  • ISBN13: 9783036508023
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Mdpi AG
  • Publisher Imprint: Mdpi AG
  • Publication Date:
  • Pages: 274
  • Original Price: GBP 56.2
  • Language: English
  • Edition: N/A
  • Item Weight: 790 grams
  • BISAC Subject(s): General

The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: - provide novel insights into the functional properties of the IB; - discuss the IB principle (and its derivates) as an objective for training multi-layer machine learning structures such as neural networks and decision trees; and - offer a new perspective on neural network learning via the lens of the IB framework. Our collection thus contributes to a better understanding of the IB principle specifically for deep learning and, more generally, of information-theoretic cost functions in machine learning. This paves the way toward explainable artificial intelligence.

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