Deep Learning with R Cookbook

Deep Learning with R Cookbook is your hands-on guide to mastering deep learning techniques using R. In this recipe-style book, you'll explore unique solutions for neural network problems, leveraging R 3.5.x and its powerful libraries. You'll gain practical skills in classification, sequence modeling, computer vision, and generative modeling, making your deep learning projects robust and efficient.

What this Book will help me do

• Develop image classifiers using convolutional neural networks (CNNs) in R.
• Apply advanced algorithms such as GANs and VAEs to build generative models.
• Master using RNNs and LSTMs for time-series and sequence data processing.
• Learn best practices in hyperparameter tuning and model optimization in R.
• Utilize GPUs for accelerating computation with R's advanced ecosystem.

Author(s)

The authors of Deep Learning with R Cookbook, None Gupta, None Ansari, and None Sarkar, are seasoned experts in AI and machine learning. With a strong background in R programming and deep learning research, they bring a wealth of practical knowledge to the table. Their approachable writing style ensures that both researchers and practitioners will find the book invaluable in navigating the complexities of deep learning.

Who is it for?

This book is perfect for data scientists, AI enthusiasts, and machine learning practitioners looking to enhance their deep learning skills using R. It assumes a working knowledge of R and basic machine learning concepts. You'll find this book suitable if you're eager to build advanced neural networks and solve practical problems in computer vision, natural language processing, and beyond.