Book Image

Advanced Deep Learning with R

By : Bharatendra Rai
Book Image

Advanced Deep Learning with R

By: Bharatendra Rai

Overview 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. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.
Table of Contents (20 chapters)
Free Chapter
1
Section 1: Revisiting Deep Learning Basics
3
Section 2: Deep Learning for Prediction and Classification
6
Section 3: Deep Learning for Computer Vision
12
Section 4: Deep Learning for Natural Language Processing
17
Section 5: The Road Ahead

Deep learning with R

We will start by looking at the popularity of deep learning networks and also take a look at a version of some of the important R packages used in this book.

Deep learning trend

Deep learning techniques make use of neural network-based models and have seen increasing interest in the last few years.A Google trends website for the search term deep learning provides the following plot:

The preceding plot has 100 as the peak popularity of a search term, and other numbers are relative to this highest point. It can be observed that the interest in the term deep learning has gradually increased in popularity since around 2014. For the last two years, it has enjoyed peak popularity. One of the reasons for the...