TensorFlow 101: Everything You Need to Know About This Open Source Software Library
Tensor flow was initially a deep learning research project made by the Google Brain Team, which is new open source library deployed within the Google ecosystem, which includes Gmail, Search, Google Assistant and more. Having this in place, Google is able to employ deep learning across several areas with the help of language-understanding and perceptual tasks.
What is TensorFlow?
If you have an image of Eiffel Tower, the Google Photos can determine the image. This is now possible and that’s thanks to deep learning and those who are developing real products; that division made it quite challenging for developers to cover deep learning in the software. Through TensorFlow, this division is totally gone.
TensorFlow provides a set of modules, which allow developing and executing computations that are then expressed in stateful data flow graphs. Such graphs make it possible for apps such as Google Photos to become accurate at identifying locations in images that are based on famous landmarks. TensorFlow enhances on this idea by sorting through layers of data known as Nodes. Diving deeper into the layers would enable for more and complicated questions about the image.
Why It Matters?
Machine learning is the key ingredient for tomorrow’s innovation. Also called as deep learning, machine learning is considered as the class of algorithms which:
- Learn different levels of representation corresponding to multiple levels of abstraction
- Are based on the learning of different levels of representations or features of the data
- Utilize several layers of nonlinear processing units for a feature extraction or transformation
Thanks to machine learning, devices and software continue to become much smarter. With today’s ever demanding consumers as well as the rise of big data, the evolution has identical to the success of a developer as well its product. Because TensorFlow was created an open source, it denotes anyone can use this wonderful leap forward brought by Google.
With companies and developers able to utilize the TensorFlow libraries, lots of devices and applications will become more reliable, faster and smarter. TensorFlow will be capable of sorting through a wide number of photos at an extraordinary rate.
Who does it affect?
TensorFlow not just makes it possible for most developers to consist the spoils of deep learning into their own products; however, it makes software and devices significantly easier to use and more intelligent. In our present world, that denotes that everybody is affected. Small businesses, consumers, enterprises, developers and software designers are all affected by the result of deep learning. The reality that Google developed a software library, which dramatically enhances deep learning is a great win for all.
TensorFlow was released originally on November 9, 2015. The initial stable release was made available these February 15, 2017. The development guides, APIs and libraries are now available, so developers can start to include TensorFlow to their products. Users are now already noticing the results of TensorFlow in the likes of Gmail, Google Assistant, Google Search, Google Photos and more.