So now let's start building an image, classify it in Python.
But before that, we need to install an import pensive, fluent Keita's.
Then we will import the dataset that we are going to use for this image classifier.
And then we will normalize our data.
And after that, we will start creating neural network with get us.
First, VR importing some basic libraries.
We are importing them.
We are importing pandas and we are importing my plot to use place our image data set now before importing
tens of flow.
You need to install it.
To install, you have to go to your command crome.
So first press windows are it will open the dialog box.
Then you have to write C, M, B, CMB, CERN's for command prompt and then click on OK.
Here, right?
Kaunda installed tens of slow.
Then press enter.
It may take some time.
In my system, the pensive Floyds already installed.
Then we need to upgrade the tense flow version 2.0.
Since we will be using up floor 2.0 for this skorts.
To upgrade it, you have to write this statement.
Pip Espace install, then upgrade 10 sort of floor equal to two point zero.
So now look.
Despite the more book, copy this, come on and run it in your.
Come on, come.
If you are facing any error, then you first set to install the PIP.
You can use this command to install PIP.
And if you're still facing some error, then you have to correct your environment variables.
You'll find a separate.
We do about how to setup your environment variables in the appendix section of discourse.
So remember, first, when this come on Konda and saw tens of flook, then install Pip and then run
this come on to upgrade your of flow to 2.0 plus Photoshop.
Now, if you have successfully installed and SEPs look.
We need to import it.
We're importing tens of flow as D.F. and we're also importing chaos from and some flow.
Now you can check the version of your in story pensive look using this, come on.
So for Kiraz, you can write us dot double under school version.
That will underscore.
Just run this.
And you can find that the gate us that is installed in my system is two point two point four.
To check the version of 10 such law.
We can call the same tribute.
So PEF Dort double underscore version double under scored.
You can see that the version is two point zero point zero.
So just make sure that the installed version on your P.C. is greater than 2.0.
And the next video, we will import the dataset that we are going to use for our first classification
example.