Load the CIFAR dataset:

(x_train, y_train), _ = cifar10.load_data()

x_train = x_train.astype('float32')/255.0

Let's see what we have in our dataset. Define a helper function for plotting the image:

def plot_images(X):
    plt.figure(1)
    z = 0
    for i in range(0,4):
        for j in range(0,4):
            plt.subplot2grid((4,4),(i,j))
            plt.imshow(toimage(X[z]))
            z = z + 1

    plt.show()

Let's plot a few images:

plot_images(x_train[:17])

The plotted images are shown as follows: