Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go
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Format
Language
English
ISBN
9781789347883, 1789347882
Notes
Bibliography
Includes bibliographical references.
Description
The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using ...
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Seneque, G., & Chua, D. (2019). Hands-on deep learning with Go: a practical guide to building and implementing neural network models using Go . Packt Publishing.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Seneque, Gareth and Darrell, Chua. 2019. Hands-on Deep Learning With Go: A Practical Guide to Building and Implementing Neural Network Models Using Go. Packt Publishing.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Seneque, Gareth and Darrell, Chua. Hands-on Deep Learning With Go: A Practical Guide to Building and Implementing Neural Network Models Using Go Packt Publishing, 2019.
MLA Citation, 9th Edition (style guide)Seneque, Gareth,, and Darrell Chua. Hands-on Deep Learning With Go: A Practical Guide to Building and Implementing Neural Network Models Using Go Packt Publishing, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
ad20061f-12ed-5177-1566-ec4c08326767-eng
Grouping Information
| Grouped Work ID | ad20061f-12ed-5177-1566-ec4c08326767-eng |
|---|---|
| Full title | hands on deep learning with go a practical guide to building and implementing neural network models using go |
| Author | seneque gareth |
| Grouping Category | book |
| Last Update | 2024-10-08 10:55:34AM |
| Last Indexed | 2024-11-22 03:38:58AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Oct 17, 2024 |
| Last Used | Oct 19, 2024 |
Marc Record
| First Detected | Mar 21, 2023 01:12:59 PM |
|---|---|
| Last File Modification Time | Mar 21, 2023 01:12:59 PM |
| Suppressed | Record had no items |
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| 245 | 1 | 0 | |a Hands-on deep learning with Go :|b a practical guide to building and implementing neural network models using Go /|c Gareth Seneque, Darrell Chua. |
| 264 | 1 | |a Birmingham, UK :|b Packt Publishing,|c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (228 pages) | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b n|2 rdamedia | ||
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| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Table of ContentsIntroduction to Deep Learning in GoWhat Is a Neural Network and How Do I Train One?Beyond Basic Neural Networks -- Autoencoders and RBMsCUDA -- GPU-Accelerated TrainingNext Word Prediction with Recurrent Neural NetworksObject Recognition with Convolutional Neural NetworksMaze Solving with Deep Q-NetworksGenerative Models with Variational AutoencodersBuilding a Deep Learning PipelineScaling Deployment. | |
| 520 | |a The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using ... | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Machine learning.|9 46043 | |
| 650 | 0 | |a Go (Computer program language)|9 403861 | |
| 700 | 1 | |a Chua, Darrell,|e author. | |
| 776 | 0 | 8 | |i Print version:|a Seneque, Gareth.|t Hands-On Deep Learning with Go : A Practical Guide to Building and Implementing Neural Network Models Using Go.|d Birmingham : Packt Publishing, Limited, ©2019|z 9781789340990 |
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