Neural networks for electronics hobbyists : a non-technical project-based introduction /: a non-technical project-based introduction. ([2018])

• Record Type: Book
• Further Information: Note: Richard McKeon.
• Authors: McKeon, Richard T
• Contents: 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? 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. 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. 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.
• Publisher Details: California : Apress
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource, illustrations
• Subjects: 006.32; Computer science; Neural networks (Computer science) -- Design and construction -- Popular works; COMPUTERS -- General; Neural networks (Computer science) -- Design and construction; Computer Science; Hardware and Maker; Computing Methodologies; Computer Communication Networks; Computers -- Intelligence (AI) & Semantics; Computers -- Hardware -- Network Hardware; Artificial intelligence; Network hardware; Artificial intelligence; Computer Communication Networks; Computers -- Hardware -- General; Computer hardware; Electronic books; Popular works; Electronic book
• Languages: English
• ISBNs: 9781484235072
• Related ISBNs: 148423507X; 9781484235065; 1484235061
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed April 17, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.