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This ebook is a complete, readable solution manual to the Fundamentals of Neural Networks by Laurene Fausett. In the book, you will find a detailed explanation of neural networks and then two chapters on backpropagation. You will also find a glossary with definitions of mathematical terms used in the book and some exercises that correspond to concepts from the text. Please note that this ebook is not meant to be read from beginning to end but as a reference for some sections of the book or for solutions to specific exercises in backpropagation. In addition, some sections are too lengthy and need more time than most readers have available. We also advise that you try to follow along with the book as much as possible to understand the concepts and design of a neural network. Then, when you encounter a complicated problem, use the references found in the appendix at the end of this ebook as starting points for further investigation. ABOUT THE AUTHORS: Laurene Fausett is a full-time professional researcher with over 15 years experience in computational neuroscience and neuroscience education. In addition, she has been invited speakers at many universities and institutes around Canada including – Columbia University – New York, University of British Columbia – Vancouver, Ryerson University – Toronto, University College London – London. She is the author of many popular science articles and has been awarded both the Canada Council and Ontario Arts Council Fellowships for poetry. She lives in Toronto, Ontario, Canada with her husband and son. ABOUT THE AUTHOR: Dr. David Williams is a Fellow of the American Association for Artificial Intelligence and was on faculty at Northwestern University Evanston, Illinois for 18 years where he conducted research on machine learning methods. He also works in the area of biometric security using image processing tools. His publications include more than 150 papers in the field of computer vision, image analysis, image understanding, machine learning, and computational vision. He holds a PhD in Computer Science from the University of Minnesota and has been associated with Northwestern since 1985 when he received his Master's degree in Electrical Engineering. ABOUT THE AUTHOR: Dr. Stephen D. Williams received a PhD in Computer Science from the University of Manitoba in 1979 and has been a faculty member at Northwestern University since 1984. As an AI scientist working for the multi-national company, Johnson Controls, Inc., he led applied research projects for 15 years before relieving as a faculty member. He has published over 100 papers on various aspects of neural networks and systems analysis. YOUR SATISFACTION IS GUARANTEED: If you are not satisfied with this ebook for any reason, or if you believe there is a mistake or error on this ebook contact us immediately through our support email address and we will be happy to resolve it to your satisfaction. cfa1e77820
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