deep-learning-vs-reinforcement-learning

Deep Learning and Reinforcement Learning are two of the most popular subsets of Artificial intelligence. The AI market was about $120 billion in 2022 and is increasing at a mind-boggling CAGR above 38%. As artificial intelligence evolved, these two approaches (RL and DL) have been used to solve many problems, including image recognition, machine translation, and decision-making for complex systems. We will explore how they work along with their applications, limitations, and differences in an easy-to-understand way. Deep Learning is the subset of machine learning in which we use Neural Networks to recognize patterns in the given data for predictive modeling on the unseen data.