How to install Keras in R

This recipe helps you install Keras in R

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Recipe Objective - How to install Keras in R?.

Keras is a open source library for used for implementing machine learning. It is developed by Francois Chollet. It is primarily used for artificial neural networks tasks and acts as an interface to TensorFlow library. Its written in python and supports both Windows and Linux operating system. Keras is used for various fields of artificial intelligence like computer vision, recurrent neural networks speech recognition, image recognition etc. It supports backends such as Microsoft cognitive toolkit, Theano and PlaidML that are some popular machine learning frameworks. It is widely used library around the world.

Steps for installing Keras.

Step 1: Installing keras package

  install.packages("keras")

Step 2: Loading keras package in R environment

  library(keras)

Keras package supports both CPU and Graphical processing unit that is GPU for faster and effuicient computations. Keras package is successfully installed and is ready to work.

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