Neural Networks for Electronics Hobbyists

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.

Autorentext
Richard McKeon has spent the last 40 years designing circuits and building communication networks. Currently living in Prescott, Arizona, Rick spends his time pursuing his passion for writing, playing music, and teaching. Some of his interests also include hiking, treasure hunting, recreational mathematics, photography and experimenting with microcontrollers.

Inhalt
***Neural Networks for Electronics Hobbyists
*
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