Neural Networks for Electronics Hobbyists A Non-Technical Project-Based Introduction /

• Κύριος συγγραφέας: McKeon, Richard (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Computer input-output equipment.; Artificial intelligence.; Computer communication systems.; Hardware and Maker.; Artificial Intelligence.; Computer Communication Networks.

 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. . 

 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. .