目錄(52章)
倒序
- 封面
- 書名頁
- Hands-On Deep Learning with TensorFlow
- Credits
- About the Author
- www.PacktPub.com
- Why subscribe?
- Customer Feedback
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Downloading the example code
- Downloading the color images of this book
- Errata
- Piracy
- Questions
- Chapter 1. Getting Started
- Installing TensorFlow
- Simple computations
- Logistic regression model building
- Logistic regression training
- Chapter 2. Deep Neural Networks
- Basic neural networks
- Single hidden layer model
- Single hidden layer explained
- The multiple hidden layer model
- Results of the multiple hidden layer
- Summary
- Chapter 3. Convolutional Neural Networks
- Convolutional layer motivation
- Convolutional layer application
- Pooling layer motivation
- Pooling layer application
- Deep CNN
- Deeper CNN
- Wrapping up deep CNN
- Summary
- Chapter 4. Introducing Recurrent Neural Networks
- Exploring RNNs
- TensorFlow learn
- DNNs
- Summary
- Chapter 5. Wrapping Up
- Research evaluation
- A quick review of all the models
- The future of TensorFlow
- Summary
- Index 更新時間：2021-07-15 17:11:23
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