Hands-on Deep Learning with R (A practical guide to designing, building, and improving neural network models using R)

Pawlus, Michael, Devine, Rodger · Packt Publishing · 2020-04-24

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key Features * Understand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problem * Improve models using parameter tuning, feature engineering, and ensembling * Apply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different dom

ISBN
9781788996839
출판일
2020-04-24
출판사
Packt Publishing
저자
Pawlus, Michael, Devine, Rodger