Hybrid Neural Networks by Fouad Sabry
Synopsis
What Is Hybrid Neural Networks
The phrase "hybrid neural network" can refer to either biological neural networks that interact with artificial neuronal models or artificial neural networks that also have a symbolic component. Both of these interpretations are possible.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Hybrid neural network
Chapter 2: Connectionism
Chapter 3: Computational neuroscience
Chapter 4: Symbolic artificial intelligence
Chapter 5: Neuromorphic engineering
Chapter 6: Recurrent neural network
Chapter 7: Neural network
Chapter 8: Neuro-fuzzy
Chapter 9: Spiking neural network
Chapter 10: Hierarchical temporal memory
(II) Answering the public top questions about hybrid neural networks.
(III) Real world examples for the usage of hybrid neural networks in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of hybrid neural networks' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid neural networks.
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