- 389 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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What you will learn
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Table of contents
- 版权信息
- 版权
- 版权声明
- 内容提要
- 作者简介
- 技术审稿人简介
- 译者序
- 前言
- 资源与支持
- 第1章 数据科学——鸟瞰全景
- 第2章 数据建模实战——“泰坦尼克号”示例
- 第3章 特征工程与模型复杂性——重温“泰坦尼克号”示例
- 第4章 TensorFlow入门实战
- 第5章 TensorFlow基础示例实战
- 第6章 深度前馈神经网络——实现数字分类
- 第7章 卷积神经网络
- 第8章 目标检测——CIFAR-10示例
- 第9章 目标检测——CNN迁移学习
- 第10章 循环神经网络——语言模型
- 第11章 表示学习——实现词嵌入
- 第12章 神经网络在情感分析中的应用
- 第13章 自动编码器——特征提取和降噪
- 第14章 生成对抗网络
- 第15章 面部生成与标签缺失处理
- 附录A 实现鱼类识别
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Yes, you can access 深度学习:核心原理与案例分析 by Posts & Telecom Press,Ahmed Menshawy in PDF and/or ePUB format, as well as other popular books in Computer Science & Neural Networks. We have over one million books available in our catalogue for you to explore.