Difference Equations and Machine Learning

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) an...