Ghatak Abhijit. Deep Learning with R

Springer, 2019. — 259 p. — ISBN: 9811358494.Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.Deep learning is a specific subfield of machine learning, which makes use of tens/hundreds of successive layers of representations. The specification of what a layer does to its input is stored in the layer’s parameters. Learning in deep learning can also be defined as finding a set of values for the parameters of each layer of a deep learning model, which will result in the appropriate mapping of the inputs to the associated answers (outputs). Deep learning has been proven to be better than conventional machine learning algorithms for these “perceptual” tasks, but not yet proven to be better in other domains as well.