Deep Learning is one of the Hottest topics of 2019-20 and for a good reason. The advancements in the Industry has made it possible for Machines/Computer Programs to actually replace Humans. Artificial Intelligence is going to create 2.3 million Jobs by 2020 and a lot of this is being made possible by TensorFlow. So, in this Install TensorFlow article, I’ll be covering the following topics:
What is TensorFlow?
TensorFlow is Google’s Open Source Machine Learning Framework for dataflow programming across a range of tasks. Nodes in the graph represent mathematical operations, while the graph edges represent the multi-dimensional data arrays (tensors) communicated between them.
Tensors are just multidimensional arrays, an extension of 2-dimensional tables to data with a higher dimension. There are many features of TensorFlow which makes it appropriate for Deep Learning.
TensorFlow Applications
Now TensorFlow has helped a lot of companies built world-class models to solve real problems. So, before we install TensorFlow, let’s have a look at some of the applications of it.
Airbnb: It improves the guest experience by using TensorFlow to classify images and detect objects at scale.
CocaCola: The advancements in Tensorflow enabled Coco-Cola to finally achieve a long-sought frictionless proof-of-purchase capability.
GE Healthcare: GE trained a Neural Network using TensorFlow to identify specific anatomy during brain MRIs to help improve speed and reliability.
Twitter: Twitter used TensorFlow to build their “Ranked Timeline”, allowing users to not miss any tweets even if they follow a thousand other users.
Install TensorFlow: Steps
There are few Pre-requisites before we install Tensorflow:
Pip is already there in python 3.5.x onwards.
- Set up Virtual Environment
To set up the Virtual environment:
After this use the command
And, you’re done. Go ahead, after you install tensorflow, just import it and start using it’s amazing deep learning capabilities and create something new.
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