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Neural networks for electronics hobb...

McKeon, Richard.

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Neural networks for electronics hobbyists = a non-technical project-based introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neural networks for electronics hobbyists/ by Richard McKeon.
其他題名:	a non-technical project-based introduction /
作者:	McKeon, Richard.
出版者:	Berkeley, CA :Apress : : 2018.,
面頁冊數:	xiv, 139 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Biological Neural Networks -- Chapter 2: Implementing Neural Networks -- Chapter 3: Electronic Components -- Chapter 4: Building the Network -- Chapter 5: Training with Back Propagation -- Chapter 6: Training on Other Functions -- Chapter 7: Where Do We Go from Here? -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science) - Popular works. - Design and construction -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3507-2
ISBN:	9781484235072

Neural networks for electronics hobbyists = a non-technical project-based introduction /
McKeon, Richard.

Neural networks for electronics hobbyistsa non-technical project-based introduction /[electronic resource] :by Richard McKeon. - Berkeley, CA :Apress :2018. - xiv, 139 p. :ill., digital ;24 cm.

Chapter 1: Biological Neural Networks -- Chapter 2: Implementing Neural Networks -- Chapter 3: Electronic Components -- Chapter 4: Building the Network -- Chapter 5: Training with Back Propagation -- Chapter 6: Training on Other Functions -- Chapter 7: Where Do We Go from Here? -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.

ISBN: 9781484235072

Standard No.: 10.1007/978-1-4842-3507-2doiSubjects--Topical Terms:

3309462
Neural networks (Computer science)
--Design and construction--Popular works.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

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