Caffe2 Quick Start Guide: Modular and scalable deep learning made easy
bBuild and train scalable neural network models on various platforms by leveraging the power of Caffe2/b h4Key Features/h4 ulliMigrate models trained with other deep learning frameworks on Caffe2 /li liIntegrate Caffe2 with Android or iOS and implement deep learning models for mobile devices /li liL...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2019
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bBuild and train scalable neural network models on various platforms by leveraging the power of Caffe2/b h4Key Features/h4 ulliMigrate models trained with other deep learning frameworks on Caffe2 /li liIntegrate Caffe2 with Android or iOS and implement deep learning models for mobile devices /li liLeverage the distributed capabilities of Caffe2 to build models that scale easily/li/ul h4Book Description/h4 Caffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms. This book introduces you to the Caffe2 framework and shows how you can leverage its power to build, train, and deploy efficient neural network models at scale. It will cover the topics of installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. It will also show how to import models from Caffe and from other frameworks using the ONNX interchange format. It covers the topic of deep learning accelerators such as CPU and GPU and shows how to deploy Caffe2 models for inference on accelerators using inference engines. Caffe2 is built for deployment to a diverse set of hardware, using containers on the cloud and resource constrained hardware such as Raspberry Pi, which will be demonstrated. By the end of this book, you will be able to not only compose and train popular neural network models with Caffe2, but also be able to deploy them on accelerators, to the cloud and on resource constrained platforms such as mobile and embedded hardware. h4What you will learn/h4 ulliBuild and install Caffe2 /li liCompose neural networks /li liTrain neural network on CPU or GPU /li liImport a neural network from Caffe /li liImport deep learning models from other frameworks /li liDeploy models on CPU or GPU accelerators using inference engines /li liDeploy models at the edge and in the cloud /li /ul h4Who this book is for/h4 Data scientists and machine learning engineers who wish to create fast and scalable deep learning models in Caffe2 will find this book to be very useful. Some understanding of the basic machine learning concepts and prior exposure to programming languages like C++ and Python will be useful |
| Beschreibung: | 1 Online-Ressource (136 Seiten) |
| ISBN: | 9781789138269 |
Internformat
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| 520 | |a bBuild and train scalable neural network models on various platforms by leveraging the power of Caffe2/b h4Key Features/h4 ulliMigrate models trained with other deep learning frameworks on Caffe2 /li liIntegrate Caffe2 with Android or iOS and implement deep learning models for mobile devices /li liLeverage the distributed capabilities of Caffe2 to build models that scale easily/li/ul h4Book Description/h4 Caffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms. This book introduces you to the Caffe2 framework and shows how you can leverage its power to build, train, and deploy efficient neural network models at scale. It will cover the topics of installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. It will also show how to import models from Caffe and from other frameworks using the ONNX interchange format. | ||
| 520 | |a It covers the topic of deep learning accelerators such as CPU and GPU and shows how to deploy Caffe2 models for inference on accelerators using inference engines. Caffe2 is built for deployment to a diverse set of hardware, using containers on the cloud and resource constrained hardware such as Raspberry Pi, which will be demonstrated. By the end of this book, you will be able to not only compose and train popular neural network models with Caffe2, but also be able to deploy them on accelerators, to the cloud and on resource constrained platforms such as mobile and embedded hardware. | ||
| 520 | |a h4What you will learn/h4 ulliBuild and install Caffe2 /li liCompose neural networks /li liTrain neural network on CPU or GPU /li liImport a neural network from Caffe /li liImport deep learning models from other frameworks /li liDeploy models on CPU or GPU accelerators using inference engines /li liDeploy models at the edge and in the cloud /li /ul h4Who this book is for/h4 Data scientists and machine learning engineers who wish to create fast and scalable deep learning models in Caffe2 will find this book to be very useful. Some understanding of the basic machine learning concepts and prior exposure to programming languages like C++ and Python will be useful | ||
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Datensatz im Suchindex
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| spelling | Nanjappa, Ashwin Verfasser aut Caffe2 Quick Start Guide Modular and scalable deep learning made easy Nanjappa, Ashwin 1 Birmingham Packt Publishing Limited 2019 1 Online-Ressource (136 Seiten) txt rdacontent c rdamedia cr rdacarrier bBuild and train scalable neural network models on various platforms by leveraging the power of Caffe2/b h4Key Features/h4 ulliMigrate models trained with other deep learning frameworks on Caffe2 /li liIntegrate Caffe2 with Android or iOS and implement deep learning models for mobile devices /li liLeverage the distributed capabilities of Caffe2 to build models that scale easily/li/ul h4Book Description/h4 Caffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms. This book introduces you to the Caffe2 framework and shows how you can leverage its power to build, train, and deploy efficient neural network models at scale. It will cover the topics of installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. It will also show how to import models from Caffe and from other frameworks using the ONNX interchange format. It covers the topic of deep learning accelerators such as CPU and GPU and shows how to deploy Caffe2 models for inference on accelerators using inference engines. Caffe2 is built for deployment to a diverse set of hardware, using containers on the cloud and resource constrained hardware such as Raspberry Pi, which will be demonstrated. By the end of this book, you will be able to not only compose and train popular neural network models with Caffe2, but also be able to deploy them on accelerators, to the cloud and on resource constrained platforms such as mobile and embedded hardware. h4What you will learn/h4 ulliBuild and install Caffe2 /li liCompose neural networks /li liTrain neural network on CPU or GPU /li liImport a neural network from Caffe /li liImport deep learning models from other frameworks /li liDeploy models on CPU or GPU accelerators using inference engines /li liDeploy models at the edge and in the cloud /li /ul h4Who this book is for/h4 Data scientists and machine learning engineers who wish to create fast and scalable deep learning models in Caffe2 will find this book to be very useful. Some understanding of the basic machine learning concepts and prior exposure to programming languages like C++ and Python will be useful COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Computer Vision & Pattern Recognition |
| spellingShingle | Nanjappa, Ashwin Caffe2 Quick Start Guide Modular and scalable deep learning made easy COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Computer Vision & Pattern Recognition |
| title | Caffe2 Quick Start Guide Modular and scalable deep learning made easy |
| title_auth | Caffe2 Quick Start Guide Modular and scalable deep learning made easy |
| title_exact_search | Caffe2 Quick Start Guide Modular and scalable deep learning made easy |
| title_exact_search_txtP | Caffe2 Quick Start Guide Modular and scalable deep learning made easy |
| title_full | Caffe2 Quick Start Guide Modular and scalable deep learning made easy Nanjappa, Ashwin |
| title_fullStr | Caffe2 Quick Start Guide Modular and scalable deep learning made easy Nanjappa, Ashwin |
| title_full_unstemmed | Caffe2 Quick Start Guide Modular and scalable deep learning made easy Nanjappa, Ashwin |
| title_short | Caffe2 Quick Start Guide |
| title_sort | caffe2 quick start guide modular and scalable deep learning made easy |
| title_sub | Modular and scalable deep learning made easy |
| topic | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Computer Vision & Pattern Recognition |
| topic_facet | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Computer Vision & Pattern Recognition |
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