Hands-on deep learning with Go :: a practical guide to building and implementing neural network models using Go /
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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 ... |
| Beschreibung: | 1 online resource (228 pages) |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781789347883 1789347882 |
Internformat
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| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c [2019] | |
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| 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 ... | ||
| 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. | |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Go (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh2012000746 | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Go (Langage de programmation) | |
| 650 | 7 | |a Go (Computer program language) |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 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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| contents | 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. |
| ctrlnum | (OCoLC)1112426164 |
| dewey-full | 006.3/1 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3/1 |
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| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Seneque, Gareth, author. Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / Gareth Seneque, Darrell Chua. Birmingham, UK : Packt Publishing, [2019] ©2019 1 online resource (228 pages) text txt rdacontent computer n rdamedia online resource nc rdacarrier Includes bibliographical references. Print version record. 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 ... 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. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Go (Computer program language) http://id.loc.gov/authorities/subjects/sh2012000746 Apprentissage automatique. Go (Langage de programmation) Go (Computer program language) fast Machine learning fast Chua, Darrell, author. Print version: Seneque, Gareth. Hands-On Deep Learning with Go : A Practical Guide to Building and Implementing Neural Network Models Using Go. Birmingham : Packt Publishing, Limited, ©2019 9781789340990 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2228072 Volltext |
| spellingShingle | Seneque, Gareth Chua, Darrell Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / 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. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Go (Computer program language) http://id.loc.gov/authorities/subjects/sh2012000746 Apprentissage automatique. Go (Langage de programmation) Go (Computer program language) fast Machine learning fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh2012000746 |
| title | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / |
| title_auth | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / |
| title_exact_search | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / |
| title_full | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / Gareth Seneque, Darrell Chua. |
| title_fullStr | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / Gareth Seneque, Darrell Chua. |
| title_full_unstemmed | Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go / Gareth Seneque, Darrell Chua. |
| title_short | Hands-on deep learning with Go : |
| title_sort | hands on deep learning with go a practical guide to building and implementing neural network models using go |
| title_sub | a practical guide to building and implementing neural network models using Go / |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Go (Computer program language) http://id.loc.gov/authorities/subjects/sh2012000746 Apprentissage automatique. Go (Langage de programmation) Go (Computer program language) fast Machine learning fast |
| topic_facet | Machine learning. Go (Computer program language) Apprentissage automatique. Go (Langage de programmation) Machine learning |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2228072 |
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