Introduction To Deep Learning Using R: A Step-b... Review

: Coverage of linear algebra, probability theory, and numerical computation.

If you are looking for more hands-on alternatives, you might consider the Deep Learning with R book by , which is often cited as a more practical, code-centric alternative. Introduction to Deep Learning Using R: A Step-b...

: Tutorials on Single/Multilayer Perceptrons , Convolutional Neural Networks (CNNs) , and Recurrent Neural Networks (RNNs) . : Coverage of linear algebra, probability theory, and

The book is structured to take you from basic concepts to advanced architectures: : Coverage of linear algebra