If you enjoyed this book, you may be interested in these other books by Packt:

Advanced Deep Learning with R
Bharatendra Rai

ISBN: 978-1-78953-877-9

• Learn how to create binary and multi-class deep neural network models
• Implement GANs for generating new images
• Create autoencoder neural networks for image dimension reduction, image de-noising and image correction
• Implement deep neural networks for performing efficient text classification
• Learn to define a recurrent convolutional network model for classification in Keras
• Explore best practices and tips for performance optimization of various deep learning models

R Deep Learning Essentials - Second Edition
Mark Hodnett, Joshua F. Wiley

ISBN: 978-1-78899-289-3

• Build shallow neural network prediction models
• Prevent models from overfitting the data to improve generalizability
• Explore techniques for finding the best hyperparameters for deep learning models
• Create NLP models using Keras and TensorFlow in R
• Use deep learning for computer vision tasks
• Implement deep learning tasks, such as NLP, recommendation systems, and autoencoders