Addresses a major topic related to neural networks in each chapter, or a specific type of neural network architecture.Shows how Mathematica can be used to implement and experiment with neural network architectures.Teaches the reader about what neural networks are, and how to manipulate them within the Mathematica environment.Also for researchers and practitioners interested in using Mathematica as a research tool. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science, engineering, and related areas. Readers will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural network behavior and performance. This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment.
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