R interface to TensorFlow made easy

TensorFlow, a general purpose numerical computing library, was nominally developed for python and has been proving support for approximately 2 years now. This is one of the reasons why Python has always been preferred over R.
Rstudio (a free and open-source integrated development environment ) made R Interface with TensorFlow plausible. Rstudio formally announced their work on creating R interfaces to TensorFlow at rstudio::conf on Saturday. Here is JJ Allaire, the CEO of Rstudio, addressing the conference.
Interfacing R and TensorFlow has a suite of packages that provides high-level interfaces to deep learning models (Keras) and standard regression and classification models (Estimators). Here we have some interfaces to TensorFlow:
Keras, a language for building neural networks as connections between general purpose layers. R interface to Keras focuses on enabling fast experimentation. You can have a look on the documentation for R Interface to Keras.
tfestimators package, is an R interface to TensorFlow Estimators, with the mian aim to provide a flexible framework and implementation to different models. For a detailed information, read R Interface to TensorFlow Estimator.
tensorflow is a low-level interface to the TensorFlow computational graph, providing access to the complete TensorFlow API from within R. Read this article on R Interface to Core TensorFlow API.
tfdatasets package provides access to the Dataset API, including high-level convenience functions for easy integration. Read more on R interface to TensorFlow dataset API.
Considering the fact that not all users will have complete access to high-end NVIDIA GPU, using GPUs in the cloud has been made possible. Here are a few methods for the same :
For Google’s hosted machine learning engine : cloudml package ,.
For an Amazon EC2 image preconfigured with NVIDIA CUDA drivers, TensorFlow : RStudio Server with Tensorflow-GPU for AWS
For Ubuntu 16.04: cloud desktop with a GPU
On the other hand, for a user having required NVIDIA GPU hardware, here are steps to set up GPU in the local workstation.
To make this simpler for the users, Rstudio has provided all the resources on TensorFlow for R website. You can also refer Deep Learning using Keras and TensorFlow in R.
It has always been a major topic of discussion to choose between R and Python. Python was given the preference as it could be interfaced with TensorFlow and Keras. The creation of R interface with TensorFlow is a good news for all R users.

Comments

Post a Comment

Please Share Your Views

Popular posts from this blog

SSO — WSO2 API Manager and Keycloak Identity Manager

Image
In this article, we are going to see how to implement Single Sign-On (SSO) for WSO2 API Manager using Keycloak as a Federated Identity Provider. Also, we'll choose a deep-dive showing how debugging works with the WSO2 API Manager code to see what happens inside when it's configured with a third-party identity provider (i.e Keycloak in this example). High-Level Architecture This is what we are going to do in this tutorial. High-level architecture Software Needed Following softwares will be needed: WSO2 API Manager (2.6.0) Keycloak (6.0.1) Note : We aren’t getting to use WSO2 Identity Server as a middleman for this tutorial. The article is predicated on pure WSO2 API Manager 2.6.0 (all in one). Before We Start The tutorial will be divided into two parts. In the first part, I will explain how to install and configure Keycloak. In the second part, we will see how to install and configure the WSO2 API Manager. Before we start, let's modify the  /etc/hosts  file ...
Read more

Recommendation System Using Word2Vec with Python

Image
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used for performing a variety of  NLP  tasks We will use word2vec to build our own recommendation system. Curious how NLP and recommendation engines combine? Let’s find out!   Introduction Be honest – how many times have you used the ‘Recommended for you’ section on Amazon? Ever since I found out a few years back that machine learning powers this section – I have been hooked. I keep an eye on that section each time I log into Amazon. There’s a reason companies like Netflix, Google, Amazon, Flipkart, etc. spend millions perfecting their recommendation engine. It is a powerful acquisition channel and enhances the customer’s experience. Let me use a recent example to showcase their power. I went to a popular online marketplace looking for a recliner. There were hundreds of them. From Traditional two-position recliners ...
Read more

Video Analysis: Creating Highlights Using Python

Image
Overview Build your own highlights package in Python using a simple approach That’s right – learn how automatic highlight generation works without using machine learning or deep learning! We will implement our own approach to automatic highlight generation using a full-length cricket match   Your Subconscious Mind Receives Each And Every Thought That You Have and Absolutely Accepts It As The Truth, Feeding it back into your Daily Reality. Introduction I’m a huge cricket fan. I’ve been hooked to the game since I can remember and it still fuels my day-to-day routine. I’m sure a lot of you reading this will be nodding your head! But ever since I started working full-time, keeping up with all the matches has been a tough nut to crack. I can only catch fleeting finishes to matches rather than the whole package. Or I have to follow along with text commentary – either way, it leaves me wanting more. So the data scientist in me decided to do something about ...
Read more