Overfitting and Underfitting in Child Language

This looks perfect and it clearly explains different type of cars. Let's try to decode what can overfitting and underfitting mean in Machine Learning. This definitions are subjective and it is being discussed only for novice learners to ML. On the First Day, when father is teaching her daughter, he hasn't picked an image with enough of car examples, which made daughter failed to generalize car object. On the Second Day, when father father is teaching her daughter, he has picked an images with cars and her daughter exactly learn the shape/type of car in the image, which forced her daughter to believe that car can only be of two shapes/types, which made her daughter failed to generalize car object.