Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

How Businesses are Leveraging the Power of TensorFlow

DZone 's Guide to

How Businesses are Leveraging the Power of TensorFlow

What is TensorFlow? How are businesses leveraging it? What makes it so popular? What are its applications?

· AI Zone ·
Free Resource

Over recent times, there has been a huge boom in the mobile app industry. Businesses are leveraging this boom by developing mobile apps to fetch the number of customers towards their business.

One of the most popular technologies in this regard over the recent past has been TensorFlow technology.

What is it? How are businesses leveraging it? What makes it so popular? What are its applications? In this post, we are going to help you with answers to questions like these and more.

What Is TensorFlow Technology?

In the most basic language, TensorFlow is nothing but a deep neural network that learns to perform a task via positive reinforcement. It works using layers of data called nodes, which help to come out with the accurate outcome of for a particular action.

In other words, it gives web app developers the power to harness Machine Learning and come up with high-end apps.

Its Application in AI and ML

Being one of the many Machine Learning libraries available out there, Tensor is unique in the fact that it gives even newbie developers in the field access to the complete powerful library. So they don’t really need to break it out in the field and start from scratch. They can leverage TensorFlow and come up with powerful apps using its various modules.

One of the best examples of this technology being used at the commercial level came when the UK-based supermarket, Ocado, came out in the open about using it.

They are using the libraries to run their routing algorithms, using robots to move around in their warehouses, and improving their forecasting capabilities, just to name a few..

They have also given hints of using the technology for improving customer service by predictive suggesting of items that the users might want to buy (based on their past shopping habits).

Ocado is just one of the many names that are slowly but surely building up in the scene and admitting the use of TensorFlow technology. And if the TensorFlow website is to be believed, big names like DropBox, Airbnb, Airbus, Uber, and Snapchat are using the open-source technology for the benefit of their business.

TensorFlow and Image Comparisons

One of the most prominent applications of this technology that has garnered quite a lot of attention in recent times has been its use in image comparison to developing mobile apps.

Here is a small example of it — using TensorFlow technology to connect the dots in an image and becoming a specific figure like a balloon. It works more like a machine recognizing the mage and translating it in a meaningful way so that humans could recognize it.

AI Plays a Big Part in It

In order to check the accuracy of the technology, AI developers can train AI, which will learn to identify the image and check if it is correct or not.

It is the orchestrated interplay of both these technologies that bring some great results. And this is how modern-day applications are leveraging this technology for their own good.

The Future Is Right Here

Image comparison is just one of the many applications of TensorFlow technology. There is a lot more to it than just image comparison.

Things like Sequence-to-Sequence (Seq2Seq) models, which can play a vital role in the future for developing human language-related features in apps as well as large-scale linear models, which are going to play a massive role in data analysis and simple behavioral predictions for the businesses are on the cards.

So it won’t be wrong to say that the future is going to be huge!

Topics:
tensorflow integration ,ai development ,tensorflow ,machine learning ,what is tensorflow technology ,image comparisons ,deep neural network ,open-source technology

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}