Visualize Filters of CNN using Tensor Flow

I'm working on Visualizing Filters of a CNN using TensorFlow - Guided Project in Ccoursera.

I encountered the error

Invalid shape (1, 96, 96, 3) for image data

when trying to call the plot_image function. I defined the size of the image error screenshot as (96,96,3) but it takes as (1,96,96,3)

def create_image():
    im = tf.random.uniform((96,96,3),minval=0.5,maxval=0.5)
    return im

def plot_image(image,title ='random'):
    image =image - tf.math.reduce_min(image),
    image =image / tf.math.reduce_max(image)

    plt.imshow(image)
    plt.xticks([])
    plt.yticks([])
    plt.title(title)
    plt.imshow(image)
    plt.show()
 
image = create_image()
plot_image(image)

I tried using

image_data_channels_first = np.random.rand(3, 96, 96)
image_data_channels_last = np.moveaxis(image_data_channels_first, 0, -1)

I also tried the Squeeze method, but it didn't work. I'm encountering the same error when calling the function.