具體描述
本書是一本深度學習的基礎入門讀物，對深度學習的基本理論進行瞭介紹，主要以Ubuntu係統為例搭建瞭三大主流框架——Caffe、TensorFlow、Torch，然後分彆在3個框架下，通過3個實戰項目掌握瞭框架的使用方法，並詳細描述瞭生産流程，最後講述瞭通過集群部署深度學習的項目以及如何進行運營維護的注意事項。
著者簡介
唐宏
中國電信股份有限公司廣州研究院數據通信研究所所長、高級工程師，中國電子學會雲計算專傢委員會委員，中國電信股份有限公司科技委員會數據組副組長，中國SDN産業聯盟需求場景與網絡架構組組長。主要從事IP承載網、下一代互聯網、網絡新技術方麵的研發與管理工作。
圖書目錄
第 1 章 深度學習簡介 ············································································ 1
1.1 深度學習的發展 ·······································································1
1.2 深度學習的應用及研究方嚮 ···················································3
1.3 深度學習工具介紹和對比 ·······················································4
1.3.1 Caffe·················································································4
1.3.2 TensorFlow ······································································5
1.3.3 Torch ················································································6
1.4 小結 ···························································································7
第 2 章 深度學習基本理論 ····································································9
2.1 深度學習的基本概念 ·······························································9
2.2 深度學習的訓練過程 ·····························································13
2.3 深度學習的常用模型和方法 ·················································14
2.4 小結 ·························································································20
第 3 章 深度學習環境搭建 ································································· 23
3.1 Caffe 安裝 ···············································································23
3.1.1 安裝 Caffe 的相關依賴項·············································24
3.1.2 安裝 NVIDIA 驅動 ·······················································24
3.1.3 安裝 CUDA ···································································27
3.1.4 配置 cuDNN ··································································30
3.1.5 源代碼編譯安裝 OpenCV ············································32
3.1.6 編譯 Caffe，並配置 Python 接口 ································34
3.2 Caffe 框架下的 MNIST 數字識彆問題···································41
3.3 TensorFlow 安裝 ······································································42
3.3.1 基於 pip 安裝·································································42
3.3.2 基於 Anaconda 安裝 ······················································46
3.3.3 基於源代碼安裝····························································51
3.3.4 常見安裝問題································································56
3.4 TensorFlow 框架下的 CIFAR 圖像識彆問題·························59
3.5 Torch 安裝 ···············································································61
3.5.1 無 CUDA 的 Torch 7 安裝 ·············································61
3.5.2 CUDA 的 Torch 7 安裝 ··················································61
3.6 Torch 框架下 neural-style 圖像閤成問題······························62
3.7 小結 ·························································································74
第 4 章 人臉識彆 ················································································· 75
4.1 人臉識彆概述 ·········································································75
4.2 人臉識彆係統設計 ·································································76
4.2.1 需求分析········································································76
4.2.2 功能設計········································································77
4.2.3 模塊設計········································································78
4.3 係統生産環境部署及驗證 ·····················································81
4.3.1 抽幀環境部署································································81
4.3.2 抽幀功能驗證································································82
4.3.3 OpenFace 環境部署·······················································82
4.3.4 OpenFace 環境驗證·······················································84
4.4 批量生産 ·················································································90
4.5 小結 ·······················································································102
第 5 章 車輛識彆 ···············································································103
5.1 概述 ·······················································································103
5.2 係統設計 ···············································································104
5.2.1 需求分析······································································104
5.2.2 功能設計······································································104
5.2.3 模塊設計······································································105
5.3 係統生産環境部署及驗證 ···················································106
5.3.1 生産環境部署······························································106
5.3.2 項目部署······································································107
5.3.3 環境驗證······································································108
5.4 批量生産 ···············································································109
5.5 小結 ·······················································································117
第 6 章 不良視頻識彆 ······································································· 119
6.1 概述 ·······················································································119
6.2 不良圖片模型簡介 ·······························································120
6.3 係統設計 ···············································································122
6.4 係統部署及係統測試驗證 ···················································123
6.5 批量生産 ···············································································125
6.5.1 批量節目元數據信息檢索與篩選······························125
6.5.2 基於 FFmpeg 的 SDK 抽取視頻 I 幀 ··························126
6.5.3 基於膚色比例檢測的快速篩查··································128
6.5.4 基於 Caffe 框架的不良圖片檢測································128
6.6 小結 ·······················································································129
第 7 章 集群部署與運營維護 ··························································· 131
7.1 認識 Docker···········································································131
7.2 基於 Docker 的 TensorFlow 實驗環境··································134
7.3 運營維護 ···············································································137
7.4 小結 ·······················································································138
參考文獻································································································139
· · · · · · (收起)
1.1 深度學習的發展 ·······································································1
1.2 深度學習的應用及研究方嚮 ···················································3
1.3 深度學習工具介紹和對比 ·······················································4
1.3.1 Caffe·················································································4
1.3.2 TensorFlow ······································································5
1.3.3 Torch ················································································6
1.4 小結 ···························································································7
第 2 章 深度學習基本理論 ····································································9
2.1 深度學習的基本概念 ·······························································9
2.2 深度學習的訓練過程 ·····························································13
2.3 深度學習的常用模型和方法 ·················································14
2.4 小結 ·························································································20
第 3 章 深度學習環境搭建 ································································· 23
3.1 Caffe 安裝 ···············································································23
3.1.1 安裝 Caffe 的相關依賴項·············································24
3.1.2 安裝 NVIDIA 驅動 ·······················································24
3.1.3 安裝 CUDA ···································································27
3.1.4 配置 cuDNN ··································································30
3.1.5 源代碼編譯安裝 OpenCV ············································32
3.1.6 編譯 Caffe，並配置 Python 接口 ································34
3.2 Caffe 框架下的 MNIST 數字識彆問題···································41
3.3 TensorFlow 安裝 ······································································42
3.3.1 基於 pip 安裝·································································42
3.3.2 基於 Anaconda 安裝 ······················································46
3.3.3 基於源代碼安裝····························································51
3.3.4 常見安裝問題································································56
3.4 TensorFlow 框架下的 CIFAR 圖像識彆問題·························59
3.5 Torch 安裝 ···············································································61
3.5.1 無 CUDA 的 Torch 7 安裝 ·············································61
3.5.2 CUDA 的 Torch 7 安裝 ··················································61
3.6 Torch 框架下 neural-style 圖像閤成問題······························62
3.7 小結 ·························································································74
第 4 章 人臉識彆 ················································································· 75
4.1 人臉識彆概述 ·········································································75
4.2 人臉識彆係統設計 ·································································76
4.2.1 需求分析········································································76
4.2.2 功能設計········································································77
4.2.3 模塊設計········································································78
4.3 係統生産環境部署及驗證 ·····················································81
4.3.1 抽幀環境部署································································81
4.3.2 抽幀功能驗證································································82
4.3.3 OpenFace 環境部署·······················································82
4.3.4 OpenFace 環境驗證·······················································84
4.4 批量生産 ·················································································90
4.5 小結 ·······················································································102
第 5 章 車輛識彆 ···············································································103
5.1 概述 ·······················································································103
5.2 係統設計 ···············································································104
5.2.1 需求分析······································································104
5.2.2 功能設計······································································104
5.2.3 模塊設計······································································105
5.3 係統生産環境部署及驗證 ···················································106
5.3.1 生産環境部署······························································106
5.3.2 項目部署······································································107
5.3.3 環境驗證······································································108
5.4 批量生産 ···············································································109
5.5 小結 ·······················································································117
第 6 章 不良視頻識彆 ······································································· 119
6.1 概述 ·······················································································119
6.2 不良圖片模型簡介 ·······························································120
6.3 係統設計 ···············································································122
6.4 係統部署及係統測試驗證 ···················································123
6.5 批量生産 ···············································································125
6.5.1 批量節目元數據信息檢索與篩選······························125
6.5.2 基於 FFmpeg 的 SDK 抽取視頻 I 幀 ··························126
6.5.3 基於膚色比例檢測的快速篩查··································128
6.5.4 基於 Caffe 框架的不良圖片檢測································128
6.6 小結 ·······················································································129
第 7 章 集群部署與運營維護 ··························································· 131
7.1 認識 Docker···········································································131
7.2 基於 Docker 的 TensorFlow 實驗環境··································134
7.3 運營維護 ···············································································137
7.4 小結 ·······················································································138
參考文獻································································································139
· · · · · · (收起)
讀後感
評分
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用戶評價
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浪費紙
评分浪費紙
评分浪費紙
评分浪費紙
评分浪費紙
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