Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1408
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | McKeon, Richard. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:34Z | - |
dc.date.available | 2020-05-17T08:28:34Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484235072 ; | en_US |
dc.identifier.isbn | 9781484235065 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1408 | - |
dc.description | Printed edition: ; 9781484235065. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.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. . ; | en_US |
dc.description.statementofresponsibility | by Richard McKeon. | en_US |
dc.description.tableofcontents | 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ; | en_US |
dc.format.extent | XIV, 139 p. 73 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484235072.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Hardware and Maker. ; | en_US |
dc.subject | Computing Methodologies. ; | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Neural Networks for Electronics Hobbyists | en_US |
dc.title.alternative | A Non-Technical Project-Based Introduction / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484235072.pdf | 5.46 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | McKeon, Richard. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:34Z | - |
dc.date.available | 2020-05-17T08:28:34Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484235072 ; | en_US |
dc.identifier.isbn | 9781484235065 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1408 | - |
dc.description | Printed edition: ; 9781484235065. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.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. . ; | en_US |
dc.description.statementofresponsibility | by Richard McKeon. | en_US |
dc.description.tableofcontents | 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ; | en_US |
dc.format.extent | XIV, 139 p. 73 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484235072.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Hardware and Maker. ; | en_US |
dc.subject | Computing Methodologies. ; | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Neural Networks for Electronics Hobbyists | en_US |
dc.title.alternative | A Non-Technical Project-Based Introduction / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484235072.pdf | 5.46 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | McKeon, Richard. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:34Z | - |
dc.date.available | 2020-05-17T08:28:34Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484235072 ; | en_US |
dc.identifier.isbn | 9781484235065 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1408 | - |
dc.description | Printed edition: ; 9781484235065. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.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. . ; | en_US |
dc.description.statementofresponsibility | by Richard McKeon. | en_US |
dc.description.tableofcontents | 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 Heree -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources. . ; | en_US |
dc.format.extent | XIV, 139 p. 73 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484235072.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Hardware and Maker. ; | en_US |
dc.subject | Computing Methodologies. ; | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Neural Networks for Electronics Hobbyists | en_US |
dc.title.alternative | A Non-Technical Project-Based Introduction / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484235072.pdf | 5.46 MB | Adobe PDF | Preview File |