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by Dr. Joshua F. Wiley
R Deep Learning Essentials
R Deep Learning Essentials
Table of Contents
R Deep Learning Essentials
Credits
About the Author
About the Reviewer
www.PacktPub.com
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Why subscribe?
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
1. Getting Started with Deep Learning
What is deep learning?
Conceptual overview of neural networks
Deep neural networks
R packages for deep learning
Setting up reproducible results
Neural networks
The deepnet package
The darch package
The H2O package
Connecting R and H2O
Initializing H2O
Linking datasets to an H2O cluster
Summary
2. Training a Prediction Model
Neural networks in R
Building a neural network
Generating predictions from a neural network
The problem of overfitting data – the consequences explained
Use case – build and apply a neural network
Summary
3. Preventing Overfitting
L1 penalty
L1 penalty in action
L2 penalty
L2 penalty in action
Weight decay (L2 penalty in neural networks)
Ensembles and model averaging
Use case – improving out-of-sample model performance using dropout
Summary
4. Identifying Anomalous Data
Getting started with unsupervised learning
How do auto-encoders work?
Regularized auto-encoders
Penalized auto-encoders
Denoising auto-encoders
Training an auto-encoder in R
Use case – building and applying an auto-encoder model
Fine-tuning auto-encoder models
Summary
5. Training Deep Prediction Models
Getting started with deep feedforward neural networks
Common activation functions – rectifiers, hyperbolic tangent, and maxout
Picking hyperparameters
Training and predicting new data from a deep neural network
Use case – training a deep neural network for automatic classification
Working with model results
Summary
6. Tuning and Optimizing Models
Dealing with missing data
Solutions for models with low accuracy
Grid search
Random search
Summary
A. Bibliography
Index
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