Activity 2 - Displaying RGB Color values for images
You now take a picture of your shoe from your samples.
Go ahead and copy and paste the following code into your Google Colab notebook:
plt.figure() plt.imshow(train_images) #Shows the first image in the data set as a plot or different colored pixels plt.colorbar() #displays the color bar on the right plt.grid(False) plt.show() #displays the entire plot
Change the index of the “train_images[x]” and look at the color bar on the right, what is the max pixel value?
After analyzing the shoe, you now take another clothing item from your sample and do the same thing. Change the index value to whatever you like so you have a different item. Save this value for later as you will use this in Activity 6.
For example, if you input the index value as 7, you get the following item:
Copy the following code onto Google Colab:
In order to maintain consistency between the training and testing set data, we will divide these values by 255.
#the train_images and test_images range between values from 0 to 255. #To maintain consistency between the training and testing set, we will divide train_images and test_images by 255 train_images = train_images / 255.0 test_images = test_images / 255.0