So now let's start building an image classify it in Python but before that we need to install an import
pensive flow and get us 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.
We are importing some basic libraries.
We are importing them.
We are importing pandas and we are importing my product to use realize our immense dataset.
Now before importing tens of flow you need to install it to install.
You have to go to your command chrome.
So first press.
Windows are.
It will open the Run dialog box.
Then you have to write C M the CMB sense for command prompt and then click on.
OK here right.
Conda installed tense up slow
then press enter.
It may take some time in my system.
The pensive Floyd's already installed then we need to upgrade the tense of the slow version 2.0 since
we will be using tense up floor 2.0 for this cause to upgrade it.
You have to write this statement Pip is based install then upgrade tensor flow equal to two point zero
so download pattern or book copy.
This come on and run it in your command prompt.
If you are facing any edit then you first separate install the pip.
You can use this command to install Pip and if you are still facing some error then you have to correct
your environment variables you'll find a separate review about how to setup your environment variables
in the appendix section of discourse so remember first when this command conduct and sorry tensor slope
then install Pip and then run this command to upgrade your cancer flow to 2.0 plus version.
Now if you have successfully installed and such look we need to import ICT we're importing tensor flow
as if and we're also importing get us from some flow.
Now you can check the version of your install expensive floor using this Come on.
So for us you can get us dot double underscored version double underscore just run this and you can
find that the key to us that is installed in my system is two point two point four to check the version
of 10 cells low we can call the same attribute.
So if not double then the scope version will enter the score
you can see that the version is good point zero point zero.
So just make sure that the installed version on your P.C. is greater than 2.0 in the next video.
We will import the dataset that we are going to use for our first classification.
Example.