Deep_Learning_with_R.pdf

Deep_Learning_with_R This book is a sequel to Machine Learning with R, written by the same author, and explains deep learning from first principles—how to construct different neural network architectures and understand the hyperparameters of the neural network and the need for various optimization algorithms. The theory and the math are explained in detail before discussing the code in R. The different functions are finally merged to create a customized deep learning application. It also introduces the reader to the Keras and TensorFlow libraries in R and explains the advantage of using these libraries to get a basic model up and running.