Based on the TensorFlow Transfer Learning Model, I created a condensed version that is shorter, but fits the same purpose.
Since the first time I used this model, the accuracy has always reached 100% after the first epoch. I was curious as to what would happen if I added a new image with a different background to see if it would lower the accuracy, but it didn’t change.
Then, I ran the condensed model with animal images first, then the student images so that it “retrains” the model. The animal images were processed more quickly (since there are significantly fewer images), and the accuracy took 3 epochs to reach 100%. After this, I tested my student images again but it still reached 100% accuracy after 41 seconds in the first epoch.
