How to install tensorflow in R

This recipe helps you install tensorflow in R

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Recipe Objective - How to install TensorFlow in R?.

Tensorflow is a open source library for implementing machine learning. It is developed by Google brain team. It is primarily used for deep neural networks tasks and its based on math computation and differential programming. Its written in python, C++ and CUDA and supports both Windows and Linux operating system. Tensorflow is used for various fields of artificial intelligence like computer vision, speech recognition etc. It is widely and mostly used library around the world.

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Steps for installing Tensorflow.

Step 1: Installing tensoflow package

install.packages("tensorflow")

Step 2: Loading tensorflow package in R environment

library(tensorflow)

Step 3: Checking successfull installing of tensorflow package

library(tensorflow)
tf$constant("Tensorflow")
## tf.Tensor(b'Tensorflow', shape=(), dtype=string)

On windows operating system, Anaconda is required for smooth function of tensorflow package in R. Tensorflow package is successfully installed and is ready to work.

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