Download R Deep Learning Essentials by Mark Hodnett PDF eBook free. The “R Deep Learning Essentials” provides a good start point for learning the R.
R Deep Learning Essentials by Mark Hodnett PDF Book Review
“R Deep Learning Essentials” includes important topics of the R and covers essential points of R programming. Mark Hodnett is the author of this book. Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. This book will introduce you to the deep learning package H2O with R and help you understand the concepts of deep learning. It starts by setting up important deep learning packages available in R and then moves towards building models related to neural networks, prediction, and deep prediction, all of this with the help of real-life examples. After installing the H2O package, you will learn about prediction algorithms.
Moving ahead, concepts such as overfitting data, anomalous data, and deep prediction models are explained in details. It enables you to set up the R package H2O to train deep learning models, and understand the core concepts behind deep learning models. You can also Download Android Cookbook by Ian F. Darwin PDF.
Details About R Deep Learning Essentials by Mark Hodnett PDF
- Name: R Deep Learning Essentials
- Author: Mark Hodnett
- ISBN: 10: 9781785280580
- Language: English
- Genre: Software Development
- Format: PDF
- Size:
- Pages:170
- Price: Free
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