Neural Networks for Electronics Hobbyists A Non-Technical Project-Based Introduction /
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 sin...
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| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berkeley, CA :
Apress,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9781484235072 |
| On-line přístup: |
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| 020 | |a 9781484235072 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3507-2 |2 doi | |
| 035 | |a CVTIDW12051 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a McKeon, Richard. |4 aut | |
| 245 | 1 | 0 | |a Neural Networks for Electronics Hobbyists |h [electronic resource] : |b A Non-Technical Project-Based Introduction / |c by Richard McKeon. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a XIV, 139 p. 73 illus. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 505 | 0 | |a 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. . | |
| 516 | |a text file PDF | ||
| 520 | |a 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. . | ||
| 650 | 0 | |a Computer input-output equipment. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer communication systems. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-1-4842-3507-2 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE09331 | ||
| 919 | |a 978-1-4842-3507-2 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
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