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Book synopsis

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning.  In addition, the author provides novel technical analyses of behaviors of discrete-time dynamical systems modeled as difference equations.  These analyses and their outcomes are closely related to models of very well-known neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks, which are widely used in machine learning and artificial intelligence (AI) applications.  The author also discusses difference equations and their relevance to neural networks, machine learning, and AI.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische

• Full title: Difference Equations and Machine Learning
• Author: Dusan Stipanovic
• Language: English
• Binding: Hardback
• Number of pages: 156
• EAN: 9783032009098
• ISBN: 303200909X
• ID: 49083330
• Publisher: Springer-Verlag GmbH
• Weight: 479 g
• Date of publishing: 10. January 2026

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