THE FUTURE IS HERE

Generative Adversarial Networks (GANs) with R | 1. Introduction & Overview

Provides steps for applying GAN model with R.
Next video – Generator and discriminator network
Deep Learning with TensorFlow: https://goo.gl/5VtSuC
Machine Learning videos: https://goo.gl/WHHqWP
Time-Series videos: https://goo.gl/FLztxt
Becoming Data Scientist: https://goo.gl/JWyyQc
Introductory R Videos: https://goo.gl/NZ55SJ
Image Analysis & Classification: https://goo.gl/Md3fMi
Text mining: https://goo.gl/7FJGmd
Data Visualization: https://goo.gl/Q7Q2A8
Playlist: https://goo.gl/iwbhnE

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

#artificialintelligence #machinelearning #gan #deeplearning #rprogramming