Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R

• Main Author: Beysolow II, Taweh (Author)
• Format: Electronic eBook
• Language: English
• Published: [Place of publication not identified] : Apress®, [2017]
• Subjects: Machine learning.; R (Computer program language); Big data.; Programming languages (Electronic computers); elektronické knihy; electronic books
• ISBN: 9781484227343; 9781484227336
• Physical Description: 1 online resource (xix, 227 pages)
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.