Deep Learning With R

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

About the Technology

Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks.

What's Inside
• Deep learning from first principles
• Setting up your own deep-learning environment
• Image classification and generation
• Deep learning for text and sequences

Table of Contents
PART 1 -FUNDAMENTALS OF DEEP LEARNING
• What is deep learning?
• Before we begin: the mathematical building blocks of neural networks
• Getting started with neural networks
• Fundamentals of machine learning. PART 2 - DEEP LEARNING IN PRACTICE
• Deep learning for computer vision
• Deep learning for text and sequences
• Advanced deep-learning best practices
• Generative deep learning
• Conclusions