‫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.