Synthesis Lectures on Mathematics & Statistics

Stipanović, Dušan

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.

Details

Published by: Springer

Publication Date: 2025-10-20

Format: Hardcover

ISBN-13: 9783032009098

DOI: 10.1007/978-3-032-00910-4

Dimensions: 240cm x168cm

Pages: 143