• Title: Neural Networks
• Author(s) Rolf Pfeifer, Dana Damian, Rudolf Fuchslin
• Publisher: University of Zurich
• Paperback: N/A
• eBook: PDF, 109 pages, 1.71 MB
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts.

Systematic introduction to neural networks, biological foundations; important network classes and learning algorithms; supervised models (perceptrons, adalines, multi-layer perceptrons), support-vector machines, echo-state networks, non-supervised networks (competitive, Kohonen, Hebb), recurrent networks (Hopfield, CTRNNs - continuous-time recurrent neural networks), spiking neural networks, spike-time dependent plasticity, applications.

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• Neural Networks
• Deep Learning
• Artificial Intelligence (AI)
• Algorithms and Data Structures

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