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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:
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.
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.
Twitter: Twitter used TensorFlow to build their “Ranked Timeline”, allowing users to not miss any tweets even if they follow a thousand other users.
There are few Pre-requisites before we install Tensorflow:
Pip is already there in python 3.5.x onwards.
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.
So, with this, we come to an end of this install TensorFlow article. Edureka’s Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies.