Drawn the spectacle part of this goes, you will find that we didn't mention of get us an authentic
Lou.
In this video, we will try to understand what get us and then to blow up.
So let's see.
Get US is a deep learning framework that provides a convenient way to define and train almost any kind
of deep learning model.
Basically, get us works at any model living.
It will help you define the model.
That is how many lives.
How many lives.
What does the added function?
What is the optimizer, etc..
But it does not handle any lower level operations.
If you remember in the previous two reflectors, we learned that while training a neural network, we
need a lot of differentiation, matrix, manipulation, etc., all these are not done by us.
Instead, this low level manipulation and differentiation of data is done by certain specialized and
well optimized libraries.
Good thing about Get US is that it can vote seamlessly with several such lower level libraries.
Currently, there are three main backend libraries in Tetlow, which is done by Google s.M Begaye,
which stands for Cognitive Toolkit and is developed by Microsoft and Tierno, which is Dell'Abate Miller
Lab at University of Montreal.
Any piece of code written in Get US can be done with any of these back end without having to change
anything in the code.
But as of now, denser flow is the most widely adopted, more scalable and most production ready.
So we will be using pensive of law and discourse.
Now, denser flow or any other such low level library.
These libraries need processing power from our system to do all this data manipulation.
This processing power can be provided by either C.P.U or DIPU, which stands for Central Processing
Unit or demographical processing it by default.
We do all C.P.U based installation of care doesn't antiflu.
But if you are running on a system with End Radio Deepu and a properly configured libraries of Invidia
such as Kouda or so you'd be an in which I would be Blanning.
Then you can install the deep you based virgin of data and to flow back in InGen as well.
So that's all we need to know about.
Get us intense upload.
No need to be overwhelmed by these domes now.
You will see how using guitars will define definer neural network model.
And then we will take it us to use Tenzer flow backing to train the model in the next video.
We will learn how to install guitars and tens of low in our system.