||1 of 1 people found the following review helpful.| A good start point for Deep learning in R|By Amir Aghamousa|This book provides a good start point for Deep learning in R. It starts by defining deep learning and introducing related packages in R. Specifically it talks about H2O package an interface to the H2O software a powerful library for deep learning and machine learning. Next it shows how we can apply neural network algo|About the Author||Dr. Joshua F. Wiley |Dr. Joshua F. Wiley is a lecturer at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles. His research focuses
Key Features
Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
Build models relating to neural networks, prediction and deep prediction
Book Description
Deep learning is a branch of machine learning based on a set of algorit...
[PDF.ha98] R Deep Learning Essentials Rating: 3.87 (435 Votes)
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