R Deep Learning Essentials - Second Edition

"R Deep Learning Essentials" is your guide to mastering deep learning with R. By exploring models for computer vision, NLP, and more, you'll develop the skills to implement practical applications of deep learning concepts. Learn with tools like TensorFlow, Keras, and MXNet while practicing with hands-on examples.

What this Book will help me do

• Understand how to build and train neural networks with R.
• Apply deep learning techniques to solve computer vision tasks effectively.
• Use TensorFlow, Keras, and MXNet within R to optimize various models.
• Implement natural language processing tasks such as sentiment analysis and text generation.
• Deploy and scale deep learning models using cloud computing platforms.

Author(s)

None Hodnett and None Wiley are experienced data science practitioners and educators passionate about deep learning. Having worked extensively with R and deep learning frameworks, their combined expertise shines through the practical and clear instructions in this book.

Who is it for?

This book is ideal for budding data scientists and machine learning developers proficient in R. If you have a basic understanding of machine learning concepts and seek to deepen your skills in deep learning with R, this book will guide you step-by-step. Perfect for developers aiming to enhance their projects with applications in image recognition or NLP.