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