Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1408
Title: Neural Networks for Electronics Hobbyists
Other Titles: A Non-Technical Project-Based Introduction /
Authors: McKeon, Richard. ;
subject: Computer Science;Computer Communication Systems;Computers;Computer Science;Hardware and Maker. ;;Computing Methodologies. ;;Computer Communication Networks
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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. . ;
Description: Printed edition: ; 9781484235065. ;



SpringerLink (Online service) ;

QA76

URI: http://localhost/handle/Hannan/1408
ISBN: 9781484235072 ;
9781484235065 (print) ;
More Information: XIV, 139 p. 73 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Neural Networks for Electronics Hobbyists
Other Titles: A Non-Technical Project-Based Introduction /
Authors: McKeon, Richard. ;
subject: Computer Science;Computer Communication Systems;Computers;Computer Science;Hardware and Maker. ;;Computing Methodologies. ;;Computer Communication Networks
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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. . ;
Description: Printed edition: ; 9781484235065. ;



SpringerLink (Online service) ;

QA76

URI: http://localhost/handle/Hannan/1408
ISBN: 9781484235072 ;
9781484235065 (print) ;
More Information: XIV, 139 p. 73 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235072.pdf5.46 MBAdobe PDFThumbnail
Preview File
Title: Neural Networks for Electronics Hobbyists
Other Titles: A Non-Technical Project-Based Introduction /
Authors: McKeon, Richard. ;
subject: Computer Science;Computer Communication Systems;Computers;Computer Science;Hardware and Maker. ;;Computing Methodologies. ;;Computer Communication Networks
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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. . ;
Description: Printed edition: ; 9781484235065. ;



SpringerLink (Online service) ;

QA76

URI: http://localhost/handle/Hannan/1408
ISBN: 9781484235072 ;
9781484235065 (print) ;
More Information: XIV, 139 p. 73 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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