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
