Deep Learning with R, Second Edition

Deep Learning with R, Second Edition, is a book that teaches deep learning from the ground up using R and the powerful Keras library. It covers topics such as image classification, image segmentation, time series forecasting, text classification, machine translation, text generation, neural style transfer, and image generation. The book is based on the revised new edition of François Chollet's bestselling Deep Learning with Python and has been expertly translated to the R language by Tomasz Kalinowski. It is designed for beginners and experienced ML practitioners who want to learn how to build neural networks using R.

Format: Paperback / softback
Length: 568 pages
Publication date: 26 July 2022
Publisher: Manning Publications

Deep Learning from the Ground Up Using R and the Powerful Keras Library!

In Deep Learning with R, Second Edition, you will embark on an exhilarating journey to explore the world of deep learning, starting from the very fundamentals. This comprehensive guide will empower you to:

- Understand deep learning from first principles, unraveling the mysteries behind neural networks and their incredible capabilities.

- Dive into the realm of image classification and image segmentation, where you will learn to recognize and categorize images with precision and accuracy.

- Embrace the power of time series forecasting, predicting future trends and patterns with remarkable accuracy.

- Delve into the fascinating world of text classification and machine translation, enabling computers to understand and interpret human language with astounding proficiency.

- Unleash your creativity with text generation, neural style transfer, and image generation, where you will witness the birth of artistic masterpieces inspired by neural networks.

Deep Learning with R, Second Edition is meticulously crafted to guide you step-by-step through the process of implementing deep learning with R and the powerful Keras library. Written by renowned experts in the field, this book offers a wealth of expert insights, practical techniques, and essential theory for building neural networks. Whether you are a novice or an experienced machine learning practitioner, this book will captivate your interest and empower you to unlock the full potential of deep learning.

What sets this book apart is its seamless integration of R and Keras. Tomasz Kalinowski, the maintainer of the Keras and Tensorflow R packages at RStudio, has expertly translated all code and examples to the R language, ensuring a smooth and accessible learning experience for R users. With his deep expertise, Kalinowski provides valuable guidance and tips that will help you navigate the complexities of deep learning and build robust neural networks.

Whether you are a data scientist, researcher, or software developer, deep learning has become an indispensable knowledge for unlocking the hidden insights within data. With Deep Learning with R, Second Edition, you will gain the skills and knowledge required to embark on exciting projects in computer vision, natural language processing, and more.

So, why wait? Embrace the power of deep learning and embark on this transformative journey with Deep Learning with R, Second Edition. Unleash your creativity, solve complex problems, and make a lasting impact in the world of data science.

Get your copy today and embark on a journey of discovery and innovation!

Weight: 964g
Dimension: 234 x 190 x 30 (mm)
ISBN-13: 9781633439849
Edition number: 2 ed