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‫So now let's start building an image classifiet in Python.

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‫But before that, we need to install and import tensor flow and keras,

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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 keras.

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‫First, we are importing some basic libraries.

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‫We are importing numpy.

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‫We are importing pandas and we are importing matplot to visualise our image data set. Now before importing

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‫tensorflow.

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‫You need to install it.

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

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

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‫Then you have to write cmd , cmd stands for command prompt and then  click on OK.

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‫Here, write

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‫Conda install tensflow

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‫Then press enter.

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‫It may take some time.

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‫In my system, the tensorflow is already installed.

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‫Then we need to upgrade the tense flow version to 2.0.

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‫Since we will be using tensorflow  2.0 for this course.

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‫To upgrade it, you have to write this statement.

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‫Pip space install, then upgrade tensorflow equal to two point zero.

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‫So download

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‫This jupyter note book, copy this command and run it in your

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‫Command prompt.

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‫If you are facing any error, then you first have 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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‫Video about how to setup your environment variables in the appendix section of this course.

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‫So remember, first, run this command conda install tensflow, then install Pip and then run

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‫this command to upgrade your of flow to 2.0 plus version.

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‫Now, if you have successfully installed tensorflow

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‫We need to import it.

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‫We're importing tens of flow as tf and we're also importing keras from and tensorflow

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‫Now you can check the version of your installed tensorflow using this command.

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‫So for keras, you can write keras dot double underscore version.

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‫Double underscore.

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‫Just run this.

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

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‫To check the version of tensorflow.

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‫We can call the same attribute.

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‫So tf.  double underscore version double under score.

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

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‫example.