What is TensorFlow?

If you are a passionate individual about machine learning, you may have come across the word TensorFlow, somewhere down the line. However, did you spend a minute to find out what TensorFlow is or what it is capable of? Here’s a brief insight to all those interested in this.

TensorFlow is an open-source software library for machine learning across a range of tasks, and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use.

From Wikipedia, Free Encyclopedia

In short, TensorFlow is the primary tool used by Google for all of their machine learning work. For example, when an email is received, the ability to generate a smart reply is a situation where TensorFlow comes into play.

TensorFlow was originally developed by the Google Brain Team for tasks that required heavy computational activities. As of now the main application of TensorFlow is machine learning and deep neural networks. It has a C/C++ backend and also is based on data flow graphs.

Why TensorFlow?

Unlike earlier days, there are many mechanisms and technologies for machine learning nowadays. But why do we need TensorFlow? Surely, it has some advantages when used in applications over other mechanisms.

Some advantages of TensorFlow are as follows.

• Faster compile time
• Python and C++ API (Out of which, Python API is more popular and easy to use)
• Supports distributed processing

Architecture of TensorFlow on Data Scientists Workbench (DSWB)

Why deep learning with TensorFlow?

TensorFlow offers high compatibility for deep learning. For example, it has extensive built-in support for deep learning. Further, it has tools to assemble neural networks, mathematical functions for neural networks and it is compatible with many variants of machine learning.

TensorFlow could be used to create linear regression models, non-linear regression models and even logistic regression models for classifications

People have gradually accepted TensorFlow and has started using it extensively worldwide. Tech giants and other large scale companies have also adopted TensorFlow in their activities. AirBNB, eBay, Deepmind, Intel, Uber, Snapchat, Twitter are some companies among them.

The technological era is switching more towards deep leaning and machine learning. Tech giants are more focused in developing intelligent systems and equipment. In such an era, having the knowledge of TensorFlow or using it will give you an added advantage and will create more inquisitivity within you to explore more and invent more.

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