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Sunday, 19 April 2020

Introduction of TensorFlow | Overview of TensorFlow | What is TensorFlow ?

TensorFlow is an end-to-end open source platform for machine learning. TensorFlow has a meaning, TensorFlow is made up of 2 words Tensor and Flow. 

Tensor is the multidimensional array and flow is a graph of operation. Internally, TensorFlow implements machine learning algorithms as a graph of operation on multidimensional array.

A brief history 
  • Developed by Google Brain
  • Released under Apache 2.0 license in Nov 2015
  • Current stable version : API 1 version 1.14
  • Popular GitHub repo with 129k+ stars
Why TensorFlow ?
  • Easy to build and deploy ML models
  • Enables researchers to build state of the art ML models with Keras functional API and model subclassing API.
  • Supports ML production anywhere - web, servers or edge devices irrespective of platform or language used for training and building.
TensorFlow has flexible architecture 

    Enables easy deployment across hardware platforms like 
  • CPU
  • GPU
  • TPUs
  And computing devices like
  • Desktops
  • Servers
  • Mobile devices
  • Edge devices 
TensorFlow everywhere



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