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R Deep Learning Essentials

Dr. Joshua F. Wiley




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 | #606601 in Books |  2016-03-30 |  2016-03-30 | Original language:English |  9.25 x.39 x7.50l,.67 | File type: PDF | 170 pages

||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 algor|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 algorith...

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