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So now let's start building an image classify it in Python but before that we need to install an import

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pensive flow and get us 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 first.

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We are 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 product to use realize our immense dataset.

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Now before importing tens of flow you need to install it to install.

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You have to go to your command chrome.

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So first press.

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Windows are.

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It will open the Run dialog box.

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Then you have to write C M the CMB sense for command prompt and then click on.

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OK here right.

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Conda installed tense up slow

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then press enter.

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It may take some time in my system.

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The pensive Floyd's already installed then we need to upgrade the tense of the slow version 2.0 since

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we will be using tense up floor 2.0 for this cause to upgrade it.

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You have to write this statement Pip is based install then upgrade tensor flow equal to two point zero

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so download pattern or book copy.

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This come on and run it in your command prompt.

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If you are facing any edit then you first separate install the pip.

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You can use this command to install Pip and if you are still facing some error then you have to correct

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your environment variables you'll find a separate review about how to setup your environment variables

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in the appendix section of discourse so remember first when this command conduct and sorry tensor slope

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then install Pip and then run this command to upgrade your cancer flow to 2.0 plus version.

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Now if you have successfully installed and such look we need to import ICT we're importing tensor flow

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as if and we're also importing get us from some flow.

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Now you can check the version of your install expensive floor using this Come on.

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So for us you can get us dot double underscored version double underscore just run this and you can

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find that the key to us that is installed in my system is two point two point four to check the version

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of 10 cells low we can call the same attribute.

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So if not double then the scope version will enter the score

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you can see that the version is good 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 in the next video.

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We will import the dataset that we are going to use for our first classification.

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Example.