Training a model and not evaluating its performance makes no sense at all. Hence, we will now be evaluating our deep learning model's performance on the test dataset, which has a total of 1,000 different images from the Flickr8K dataset. We start off by loading up the usual dependencies in case you don't already have them:

import pandas as pd 
import numpy as np 
import matplotlib.pyplot as plt 
 
pd.options.display.max_colwidth = 500 

%matplotlib inline