新書推薦：
《
透过地理看历史全5套：战国篇+春秋篇+历史篇+大航海+三国篇
》
售價：NT$
2091.0
《
稻盛和夫与论语
》
售價：NT$
275.0
《
乐观和爱才是生活的解药（累计50万册畅销书《别想太多啦》作者新作 ）
》
售價：NT$
306.0
《
不败：避开创业路上的81个坑（厚朴投资创始人李书文写给创业者的避坑指南。不败即可稳赢）
》
售價：NT$
305.0
《
运动防护师职业操作指南 运动损伤的预防 评估与恢复（第4版）
》
售價：NT$
1061.0
《
长寿从呼吸开始
》
售價：NT$
203.0
《
造物须臾（“郁达夫小说奖”同名小说集，一份薛定谔的生活指南：打开它，找到世界无限重启的开关）
》
售價：NT$
250.0
《
“人工智能+”：大国竞争新优势 AI革命引爆大国角力新战场
》
售價：NT$
296.0
|
| 內容簡介： |
|
本书采用“理论 +实践”的方式，全面系统地讲授了深度学习的基本原理以及使用 TensorFlow实现各类深度学习网络的方法。全书共 10章，第 1～3章主要介绍深度学习的基础知识，包括深度学习的概念和应用、深层神经网络的训练和优化、 TensorFlow的内涵和特点等内容；第 4～5章主要介绍 TensorFlow的安装，以及计算模型、数据模型、运行模型等 TensorFlow编程的基础知识；第 6～10章主要围绕 TensorFlow介绍各类深度学习网络，包括单个神经元、多层神经网络、卷积神经网络、循环神经网络、深度学习网络进阶等。全书在各个章节设置有大量的实验和实操案例，兼具知识性和实用性。
|
| 關於作者： |
|
闭应洲，南宁师范大学教授，主要研究方向为智能计算、智能医学图像处理及社会计算。主持和参与了10多项科研项目的研究工作，发布论文50多篇。2012年2月至2013年2月在美国亚利桑那州立大学访学，重点研究从海量数据中获取知识所必需的理论和技术。
|
| 目錄：
|
|
目 录第 1章引言····················································································································1 1.1 人工智能简介······································································································1 1.2 机器学习简介······································································································2 1.2.1 机器学习的概念·····························································································2 1.2.2 机器学习的本质·····························································································2 1.2.3 机器学习的步骤·····························································································3 1.2.4 机器学习的关键点··························································································5 1.2.5 机器学习的实战·····························································································6 1.2.6 机器学习的教材·····························································································7 1.3 机器学习的分类 ··································································································8 1.3.1 有监督学习···································································································8 1.3.2 无监督学习···································································································9 1.3.3 半监督学习································································································.10 1.3.4 强化学习···································································································.11 1.4 本章小结··········································································································.12第 2章深度学习的原理 ·······························································································.13 2.1 深度学习简介···································································································.13 2.1.1 深度学习的概念··························································································.13 2.1.2 深度学习的特点··························································································.13 2.2 深度学习的现实意义 ························································································.14 2.2.1 多层神经网络的模型结构 ··············································································.14 2.2.2 非线性处理能力··························································································.14 2.2.3 特征自动提取和转换····················································································.16 2.3 深度学习的应用领域 ························································································.16 2.3.1 计算机视觉································································································.17 2.3.2 自然语言处理·····························································································.20 2.3.3 语音识别···································································································.21 2.4 深层神经网络简介····························································································.22 2.4.1 神经元模型································································································.22 2.4.2 单层神经网络·····························································································.23 2.4.3 深层神经网络·····························································································.24 2.4.4 深层神经网络节点·······················································································.24 2.4.5 深层神经网络参数·······················································································.25 2.4.6 节点输出值计算··························································································.25 2.5 深层神经网络的训练与优化 ··············································································.26 2.5.1 深层神经网络的训练····················································································.26 2.5.2 深层神经网络的优化····················································································.32 2.6 本章小结·····························
|
|
購物車/收銀台(0) | 在線留言板
| 付款方式
| 聯絡我們
| 運費計算
| 幫助中心 |
加入書簽
HOME
新書上架
