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So now let's start building an image, classify it in Python.

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But before that, we need to install an import pensive, fluent Keita's.

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Then we will import the dataset that we are going to use for this image classifier.

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And then we will normalize our data.

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And after that, we will start creating neural network with get us.

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First, VR importing some basic libraries.

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We are importing them.

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We are importing pandas and we are importing my plot to use place our image data set now before importing

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tens of flow.

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You need to install it.

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To install, you have to go to your command crome.

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So first press windows are it will open the dialog box.

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Then you have to write C, M, B, CMB, CERN's for command prompt and then click on OK.

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Here, right?

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Kaunda installed tens of slow.

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Then press enter.

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It may take some time.

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In my system, the pensive Floyds already installed.

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Then we need to upgrade the tense flow version 2.0.

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Since we will be using up floor 2.0 for this skorts.

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To upgrade it, you have to write this statement.

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Pip Espace install, then upgrade 10 sort of floor equal to two point zero.

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So now look.

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Despite the more book, copy this, come on and run it in your.

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Come on, come.

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If you are facing any error, then you first set to install the PIP.

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You can use this command to install PIP.

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And if you're still facing some error, then you have to correct your environment variables.

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You'll find a separate.

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We do about how to setup your environment variables in the appendix section of discourse.

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So remember, first, when this come on Konda and saw tens of flook, then install Pip and then run

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this come on to upgrade your of flow to 2.0 plus Photoshop.

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Now, if you have successfully installed and SEPs look.

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We need to import it.

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We're importing tens of flow as D.F. and we're also importing chaos from and some flow.

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Now you can check the version of your in story pensive look using this, come on.

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So for Kiraz, you can write us dot double under school version.

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That will underscore.

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Just run this.

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And you can find that the gate us that is installed in my system is two point two point four.

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To check the version of 10 such law.

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We can call the same tribute.

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So PEF Dort double underscore version double under scored.

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You can see that the version is two point zero point zero.

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So just make sure that the installed version on your P.C. is greater than 2.0.

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And the next video, we will import the dataset that we are going to use for our first classification

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example.