Deep Learning Made Easy with R

Who Else Wants to Master Deep Learning in Half the Time?

Start building smarter models today using R !

Build Deep Learning Models Faster Then You Imagined Possible!

This book provides an accessible, hands on, easy to follow guide to building deep learning models in R. If you want to accelerate your progress, discover the best in deep learning and act on what you have learned, this book is for you. It is designed for anyone who wishes to gain a practical understanding of the important modeling and prediction techniques that make up the increasingly lucrative discipline of deep learning.

NO EXPERIENCE REQUIRED: - Bestselling data scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of deep learning in your own research. Following on from the success of the first book in the Deep Learning Made Easy Series, it gives you new deep learning tools to use in your very own research. .

YOU'LL LEARN HOW TO:

Unleash the power of Kernel Deep Convex Neural Networks.

Develop winning solutions with Deep Boosting.

Explore, evaluate and exploit Monotone Neural Networks.

Design successful solutions with Extreme Learning Machines.

Master Deep Autoencoders.

Ignite your use of Self-Organizing Polynomial Neural Networks.

This hands on text is for individuals who want to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash ideas to enhance your data science projects.

THIS BOOK IS FOR YOU IF YOU WANT:

:

Real world applications that make sense.

Examples to stimulate your thinking.

Illustrations to deepen your understanding.

Worked examples in R you can easily follow and immediately implement.

Ideas you can actually use.

Deep Learning Made Easy with R:Volume II is your very own hands on practical, tactical, easy to follow guide to mastery.

Buy this book today and join the data science revolution!