TensorFlow : An open-Source Platform for Everybody!

Launched in 2015, TensorFlow I an amazing Google’s AI platform which helps developers and engineers builds robust AI applications. I personally have used it in almost every project I have worked on.

So, you may wonder, what is TensorFlow?

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Originally developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads. It was created for the specific purpose of numerical computation using data-flow graphs as its source. Presently, the two of the more important applications of TensorFlow are machine learning and deep neural networks research, however, it can be used in a wide variety of several other domains as well.

All the libraries created in TensorFlow are written in C and C++. But has a complicated front-end for Python. Your Python code will get compiled and then executed on TensorFlow distributed execution engine built using C and C++.

The number of applications of TensorFlow is literally unlimited and that is the beauty of TensorFlow.

Some places where you may see TensorFlow being used are : Speech recognition, Gmail, Google search, Google recommendations, and Google translate.

Pretty awesome, right?

Companies that use TensorFlow : Intel, NVIDIA, Qualcomm, Samsung Electronics, AMD, Airbnb, eBay, Dropbox, Google, Uber, Twitter and several more!

Companies that use TensorFlow

Now the important questions is, how to get started in TensorFlow?

In order to install TensorFlow, the best place is TensorFlow’s installation instructions : https://www.tensorflow.org/install

Also, TensorFlow themselves have several useful guides and tutorials. For developers new to TensorFlow, the high-level API is a good place to start. To learn about the high-level API, read guides here.

The number of applications of TensorFlow is literally unlimited and that is the beauty of TensorFlow. 

Feel free to read more about case studies on TensorFlow : https://www.tensorflow.org/about/case-studies

Your Artificial Intelligence lyrics generator for any topic you want was made in TensorFlow https://TheseLyricsDoNotExist.com (and is open source too!) 

A helpful tutorial on TensorFlow : https://youtu.be/tpCFfeUEGs8

You can read my previous post to learn more about several different features of TensorFlow!

Feel free to drop a line, if you wanna chat. Adios!


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