Deep Learning with R

Discover the fascinating world of artificial intelligence with Deep Learning with R by Abhijit Ghatak. Published by Springer Verlag in 2019, this hardback edition spans 245 pages and serves as an essential guide for anyone interested in deep learning and neural networks through the R programming language.

Beginning with a comprehensive introduction to machine learning, the book delves into the fundamental architecture of neural networks. Readers will gain insights into various activation functions, forward propagation, cross-entropy loss, and backward propagation, all crucial concepts for mastering deep learning techniques.

Whether you are a novice or an experienced data scientist, Deep Learning with R provides valuable knowledge and practical applications, making it a must-have resource for your library. Enhance your understanding of deep learning today!