{
"item_title" : "Difference Equations and Machine Learning",
"item_author" : [" Dusan Stipanovic "],
"item_description" : "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.",
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Difference Equations and Machine Learning
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783032009098
- ISBN-10: 303200909X
- Publisher: Springer
- Publish Date: October 2025
- Dimensions: 9.66 x 6.94 x 0.57 inches
- Shipping Weight: 0.92 pounds
- Page Count: 143
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