Machine Learning is a subset of Artificial Intelligence that focuses on the use of data and algorithms to allow the machine to learn automatically and improve from experiences without being explicitly coded to do so -- mimicking the human learning process. There are three ways a machine can learn: supervised learning, unsupervised learning, and reinforcement learning. Let's link this back to humans, specifically 6-year-old Anika who is just learning how to add. Supervised Learning is when we teach a machine with labeled data. For example, we would give Anika 30 solved problem sets and tell her which one was added correctly and which ones were added incorrectly.

VGG Net is a plain and straight forward CNN architecture among all other. Thought it looks simple, it do outperform many complex architectures. It is the 1st runner-up in ImageNet Challenge in 2014. As shown above, there are totally 6 VGGNet Architectures. Among them, VGG-16 and VGG-19 are popular.