Theoretical Motivations for Deep Learning

#artificialintelligence 

This post explores the idea that if we can successfully learn multiple levels of representation then we can generalize well. The below flow charts illustrate how the different parts of an AI system relate to each other within different AI disciplines. The shaded boxes indicate components that are able to learn from data. Rule-based systems are hand-designed AI programs. The knowledge required by these programs are provided by experts in the concerned field.