How to install Keras and Tensorflow in Rstudio?        

              Keras and Tensorflow are Python libraries to train deep learning models.  where as R has used to train deep learning models by the library available in Rstudio keras and tensorflow.  Keras uses the conda environment to access the keras library in python which uses Tensorflow as a BackEnd.  To provide the conda environment Anaconda3 5.1.0  is CLI is used.  Before installing keras and tensorflow in Rstudio, Install Anaconda3 and set the conda and python environments to access the keras library.

ANACONDA3 5.1.0

            Anaconda is a 

free and open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment.  Package versions are managed by the package management system conda.

INSTALLING ANACONDA FOR RSTUDIO IN WINDOWS

1.   Visit the Anaconda page https://www.anaconda.com/download/#windows and download windows installer for Python 3.6 version according to your OS type 64 bit/32 bit.

2.    Install Anaconda by double click on the downloaded exe  file, and follow the installation wizard.

3.      After finishing the installation, verify whether the Conda is installed correctly or not

4.      Open the Anaconda3 terminal, and give the following command to check.

            Conda  –V

                        It will show the installation version of Conda environment like, 
                                                             conda 4.3.34

5.    Verify whether the Python is installed correctly or not by giving this command.

                          python  –V

                        It will show the Installation version of Python environment like,

           python 3.6.4 :: Anaconda custom (64-bit)

6.      If the setup has any errors in conda or python.  Check whether your conda package has updated or not.  To update your conda package,  use  the following command.

                                conda update –n base conda

                                   conda update anaconda

KERAS

ü  Keras provides a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features:

ü  Allows the same code to run on CPU or on GPU,.

ü  User-friendly API which makes it easy to quickly prototype deep learning models.

ü  Supports arbitrary network architectures: multi-input or multi-output models, layer sharing, model sharing, etc.

ü  Is capable of running on top of multiple back-ends including Tensorflow, CNTK or Theano.

TENSORFLOW

ü  TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.

ü  The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

ü  The TensorFlow API is composed of a set of Python modules that enable constructing and executing TensorFlow graphs. The tensorflow package provides access to the complete TensorFlow API from within R.

INSTALLATION OF KERAS WITH TENSORFLOW AT THE BACKEND.

The steps to install Keras in RStudio is very simple. If we follow the below steps,  first Neural Network Model in R  would be ready.

                                                Install.packages(“devtools”)

                                       devtools::install_github(“rstudio/keras”)

The above step will load the keras library from the GitHub repository. Now it is time to load keras into R and install tensorflow.

                                                                 library(keras)

By default,  RStudio loads the CPU version of tensorflow. Use the below command to download the CPU version of tensorflow.

                                                             install_tensorflow()

To install the tensorflow version with GPU support for a single user/desktop system, use the below command.

                                                   Install_tensorflow(gpu=TRUE)

Third Day on NASSCOM:

Every day with NASSCOM is unforgettable moments in my lifetime.  15.02.2017 is Third day on NASSCOM. 

In this day, Mr. Senthis Kumar sir came to the session and gave lot of joys… And he introduces the new developing Startup team lead Mr. Sathish to gives a guest lecture.

Mr. Sathish told his life experience with ours.  He told them about the STARTUPs.  He plays many videos about the startups and Indian companys, FRESHDESK,  ZOHODESK. 

Then me and my bestie K. Meenakshi ask our doubt on Helpdesk application maintanence.  He taught them about it in an easy way.

Helpdesk is an software, which is used to provide the Customer Service on big companies.  And he taught, how to use the helpdesk. Now we implement that for our Event.

Then we attend the evening session, in this session the they explained a new product a COMSOL MULTI  PHYSICS application.

In that session, I learned 3D printing technologies.

On this third day on NASSCOM, I learned,I implemented, I enjoyed this day. 

My Second Day on NASSCOM:

 Second day in NASSCOM is a another new unforgettable day in my life.  14.02.2017 is second day in NASSCOM.  This day we learned Minimal Poster. And learned how to create a Own Digital Resume.

Then my colleague R. Rajesh taken the part of the session about Android Development. He taught new ways to build and learn android app creation.

Then another colleague S. Harish Balan also takes the part of the session about MEAN Stack.

     MEAN Stack means,

       M represents, Mongo DB

      E represents, Express

      A represents, Angular JS

      N represents, Node JS

     MEAN stack is better than the LAMP Stack.

     These are the  knowledges I learned in this day.     

Interacting Day on NASSCOM

     Yesterday I host my digital resume. Then I met one Start-up Enterpreneur in NASSCOM. Whose name is "Sumit Gupta" . He is the team lead of the Listup App.  The speaking and learning experience with him was totally difference. He explained me the working of Listup app. Surely I will promote their app to the people,my friends and etc... 

LISTUP LOGO

Links to Download the App:

Android App : https://play.google.com/store/apps/details?id=com.listup.android

iOS App: https://itunes.apple.com/in/app/listup-buy-sell-used-goods/id1105485281?mt=8

Please install and use this app for sell and buy your products,things with your collics,friends,teammates,juniors,seniors,etc.... This app has many features... 

Not only Installing this "Listup App" also I request you to Rating this app. Don't forgot to Rate this app. And said to your friends and neighbours to use this app.

          This day was wonderful because of I met a new App Builder in NASSCOM. And so many bla,,bla,,, things make me laugh,make me feeling awesome..

My First day on Google GDG

Google Developers GDG-Boot Camp - NASSCOM

     Feb-13-2017 I attend the boot camp provided by Google developers GDG.  Yesterday is the first day. I learned so many new ways to improve my skills and new technical resources. 

     Mr. Chatiswaran gives orientation programme. Mr. Saravanan and Mr. Senthil Nathan sir gives some keywords to gather knowledge. Here is the Keywords that i noticed,,

Tensorflow

Google IO

Google Summer of Code

Hackers earth

Theme forest

Foss in women Security

Technovation

women techmakes

women who code

Google Material Design

Open Source

developer.mozilla.org

Google gdg madurai fest