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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
California :
Apress,
[2018]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a McKeon, Richard T., |e author. | |
| 245 | 1 | 0 | |a Neural networks for electronics hobbyists : |b a non-technical project-based introduction / |c Richard McKeon. |
| 264 | 1 | |a California : |b Apress, |c [2018] | |
| 264 | 4 | |c Ã2018 | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 347 | |a text file | ||
| 347 | |b PDF | ||
| 588 | |a Online resource; title from PDF title page (EBSCO, viewed April 17, 2018). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 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. What You'll LearnGain a practical introduction to neural networksReview techniques for training networks with electrical hardware and supervised learningUnderstand how parallel processing differs from standard sequential programmingWho This Book Is ForThis book anyone interest in neural networks, from electronic hobbyists looking for an interesting project to build, to a layperson with no experience. Programmers familiar with neural networks but have only implemented them using computer code will also benefit from this book."-- |c Provided by publisher | ||
| 505 | 0 | |a Intro; Table of Contents; About the Author; About the Technical Reviewer; Preface; Chapter 1: Biological Neural Networks; Biological Computing: The Neuron; What Did You Do to Me?; Wetware, Software, and Hardware; Wetware: The Biological Computer; Software: Programs Running on a Computer; Hardware: Electronic Circuits; Applications; Just Around the Corner; Chapter 2: Implementing Neural Networks; Architecture?; A Variety of Models; Our Sample Network; The Input Layer; The Hidden Layer; The Output Layer; Training the Network; Summary; Chapter 3: Electronic Components; What Is XOR? | |
| 505 | 8 | |a The ProtoboardThe Power Supply; Inputs; SPDT Switches; Resistor Color Code; LEDs; What Is a Voltage Divider?; Adjusting Connection Weights; Summing Voltages; Op Amp Comparator; Putting It All Together; Parts List; Summary; Chapter 4: Building the Network; Do We Need a Neural Network?; The Power Supply; The Input Layer; The Hidden Layer; Installing potentiometers and Op Amps; Installing Input Signals to the Op Amps; The Output Layer; Installing Potentiometers and Op Amp Z; Installing Inputs to Op Amp Z; Finishing the Output Layer; Testing the circuit; Summary. | |
| 505 | 8 | |a Chapter 5: Training with Back PropagationThe Back Propagation Algorithm; Implementing the Back Propagation Algorithm; Training Cycles; Convergence; Attractors and Trends; What Is an Attractor?; Attractors in Our Trained Networks; Implementation; Summary; Chapter 6: Training on Other Functions; The OR Function; The AND Function; The General Purpose Machine; Summary; Chapter 7: Where Do We Go from Here?; Varying the Learning Rate; Crazy Starting Values; Apply the Back Propagation Rule Differently; Feature Extraction; Determining the Range of Values; Training on Different Logic Functions. | |
| 505 | 8 | |a Try Using a Different ModelBuild a Neural Network to Do Other Things; Postscript; Summary; Appendix A: Neural Network Software, Simbrain; Appendix B: Resources; Neural Network Books; Chaos and Dynamic Systems; Index. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Neural networks (Computer science) |x Design and construction |v Popular works. | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Network hardware. |2 bicssc | |
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| 650 | 7 | |a Neural networks (Computer science) |x Design and construction |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a McKeon, Richard T. |t Neural networks for electronics hobbyists. |d Ã2018 |z 1484235061 |z 9781484235065 |w (OCoLC)1020025172 |
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