provide an overview of the tensorflow

library as well as the structure of a

basic tensorflow application tensorflow

is an open source library for creating

large-scale machine learning

applications it can model computations

on a wide variety of hardware ranging

from android devices to heterogeneous

multi-gpu systems tensorflow uses a

special structure in order to execute

code on different devices like CPUs and

GPUs computations are defined as a graph

and each graph is made up of operations

also known as ops so whenever we work

with tensorflow we define the series of

operations in a graph to run these

operations we need to launch the graph

into a session the session translates

the operations and passes them to a

device for execution to use tensorflow

we need to import the library we'll give

it the name TF so that we can access a

module by writing TF dot and then the

modules name to create our first graph

will start by using source operations

which do not require any input these

source operations or source Ops will

pass their information to other

operations which will actually run

computations let's create two source

operations that will output numbers will

find them is A and B which you can see

in the following piece of code we'll also

define a simple computational operation

TF dot add is used to sum two elements

you could also use C equals A plus B

since graphs need to be executed in the

context of a session we need to create a

session object to watch the graph let's

run the session to get the result from

the previously defined see operation the

following command closes the session in

order to release resources to avoid

having to close the sessions every time

we can define them in a with block after

running the with block the session will

close automatically

you're probably thinking that was a lot

of work just to add two numbers together

but it's extremely important that you

understand the basic structure of

tensorflow because once you do you can

define any computations that you want

and again tensorflow structure allows it

to handle computations on different

devices and even in clusters if you want

to learn more about this you can run the

method TF dot device feel free to

experiment with the structure of

tensorflow in order to get a better idea

of how it works if you want a list of

all the mathematical operations that

tensorflow supports you can check out

the documentation by now you should

understand the structure of tensorflow

and how to create a basic application

thank you for watching this video to

practice and learn more go to the lab

and run the code for yourself