目錄(58章)
倒序
- coverpage
- Java Deep Learning Essentials
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Deep Learning Overview
- Transition of AI
- Things dividing a machine and human
- AI and deep learning
- Summary
- Chapter 2. Algorithms for Machine Learning – Preparing for Deep Learning
- Getting started
- The need for training in machine learning
- Supervised and unsupervised learning
- Machine learning application flow
- Theories and algorithms of neural networks
- Summary
- Chapter 3. Deep Belief Nets and Stacked Denoising Autoencoders
- Neural networks fall
- Neural networks' revenge
- Deep learning algorithms
- Summary
- Chapter 4. Dropout and Convolutional Neural Networks
- Deep learning algorithms without pre-training
- Dropout
- Convolutional neural networks
- Summary
- Chapter 5. Exploring Java Deep Learning Libraries – DL4J ND4J and More
- Implementing from scratch versus a library/framework
- Introducing DL4J and ND4J
- Implementations with ND4J
- Implementations with DL4J
- Summary
- Chapter 6. Approaches to Practical Applications – Recurrent Neural Networks and More
- Fields where deep learning is active
- The difficulties of deep learning
- The approaches to maximizing deep learning possibilities and abilities
- Summary
- Chapter 7. Other Important Deep Learning Libraries
- Theano
- TensorFlow
- Caffe
- Summary
- Chapter 8. What's Next?
- Breaking news about deep learning
- Expected next actions
- Useful news sources for deep learning
- Summary
- Index 更新時間：2021-07-16 10:38:54
推薦閱讀
- 企業數字化創新引擎：企業級PaaS平臺HZERO
- Developing Mobile Games with Moai SDK
- SQL Server 2008數據庫應用技術（第二版）
- 卷積神經網絡的Python實現
- 文本挖掘：基于R語言的整潔工具
- 區塊鏈通俗讀本
- 智能數據分析：入門、實戰與平臺構建
- OracleDBA實戰攻略：運維管理、診斷優化、高可用與最佳實踐
- Lego Mindstorms EV3 Essentials
- 大數據治理與安全：從理論到開源實踐
- 探索新型智庫發展之路：藍迪國際智庫報告·2015（下冊）
- Solaris操作系統原理實驗教程
- Hadoop 3實戰指南
- 深入理解InfluxDB：時序數據庫詳解與實踐
- 數據應用工程：方法論與實踐
- 區塊鏈應用開發指南：業務場景剖析與實戰
- 云原生架構：從技術演進到最佳實踐
- Arquillian Testing Guide
- 算力芯片：高性能CPU/GPU/NPU微架構分析
- 數據可視化五部曲
- 數據時代的品牌智造
- 大數據：從海量到精準
- CORS Essentials
- 自己動手做大數據系統（第2版）
- Internet of Things Programming with JavaScript
- 一本書講透首席數據官：CDO知識體系與能力模型詳解
- 圖數據庫原理、架構與應用
- 微軟云計算：Microsoft Azure部署與管理指南
- 數據庫技術與應用：Access 2010
- 高效自動化測試平臺：設計與開發實戰
