Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1408
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMcKeon, Richard. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:34Z-
dc.date.available2020-05-17T08:28:34Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235072 ;en_US
dc.identifier.isbn9781484235065 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1408-
dc.descriptionPrinted edition: ; 9781484235065. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractLearn 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. . ;en_US
dc.description.statementofresponsibilityby Richard McKeon.en_US
dc.description.tableofcontentsChapter 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ;en_US
dc.format.extentXIV, 139 p. 73 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235072.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputersen_US
dc.subjectComputer Scienceen_US
dc.subjectHardware and Maker. ;en_US
dc.subjectComputing Methodologies. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleNeural Networks for Electronics Hobbyistsen_US
dc.title.alternativeA Non-Technical Project-Based Introduction /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235072.pdf5.46 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMcKeon, Richard. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:34Z-
dc.date.available2020-05-17T08:28:34Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235072 ;en_US
dc.identifier.isbn9781484235065 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1408-
dc.descriptionPrinted edition: ; 9781484235065. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractLearn 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. . ;en_US
dc.description.statementofresponsibilityby Richard McKeon.en_US
dc.description.tableofcontentsChapter 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ;en_US
dc.format.extentXIV, 139 p. 73 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235072.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputersen_US
dc.subjectComputer Scienceen_US
dc.subjectHardware and Maker. ;en_US
dc.subjectComputing Methodologies. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleNeural Networks for Electronics Hobbyistsen_US
dc.title.alternativeA Non-Technical Project-Based Introduction /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235072.pdf5.46 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMcKeon, Richard. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:34Z-
dc.date.available2020-05-17T08:28:34Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235072 ;en_US
dc.identifier.isbn9781484235065 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1408-
dc.descriptionPrinted edition: ; 9781484235065. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractLearn 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. . ;en_US
dc.description.statementofresponsibilityby Richard McKeon.en_US
dc.description.tableofcontentsChapter 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ;en_US
dc.format.extentXIV, 139 p. 73 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235072.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputersen_US
dc.subjectComputer Scienceen_US
dc.subjectHardware and Maker. ;en_US
dc.subjectComputing Methodologies. ;en_US
dc.subjectComputer Communication Networksen_US
dc.titleNeural Networks for Electronics Hobbyistsen_US
dc.title.alternativeA Non-Technical Project-Based Introduction /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235072.pdf5.46 MBAdobe PDFThumbnail
Preview File