Meeting the most popular deep learning framework – Tensorflow
Watching the rapid pace of technological developments, throughout the last couple of years, makes me think that we’ve reached another major turning point for our society. Artificial intelligence, big data, machine learning, all of these innovations have made our lives easier and more exciting. It will get a lot more interesting, trending right now is deep learning, which is becoming increasingly used throughout the world of technology, and no doubt will be a major technology for our future. I am sure about that!
According to a MarketsandMarkets report, the deep learning market is expected to be worth $1,772.9 Million by 2022, growing a CAGR of 65.3% between 2016 and 2022. This is huge! Now, many people might think that these advanced techniques is out of their reach, but that is not true. A few years ago, Google developed an open source deep learning framework that that is now available for everyone.
Meet Tensorflow!
Google developed its deep learning framework, Tensorflow, in November 2015. Since then, they have continuously improved the framework, making it one of the most popular AI programming project on software code-sharing service. Google has shared its machine intelligence library to all of us.
Exploring Tensorflow’s perks!
More and more businesses are starting to see the advantages that Tensorflow delivers, and are increasingly starting to using the innovative deep learning framework. Let’s take a quick dive into these perks:
- Portability – One of the main concerns that companies are burdened is portability. However, Tensorflow overcomes this challenge. The platform runs on CPUs, GPUs, servers, and mobile computing platforms, meaning that you are not bounded by hardware. Very interesting!
- Auto Differentiation – The automatic differentiation feature enhances gradient-based machine learning algorithms, allowing you to design your predictive model’s architecture and blend it with your objective function and add data to it.
- Performance – Read more here.