Deep Learning Explained By Example - AI Summary

Deep learning is an advanced branch of machine learning that enables computers to solve complex problems from driving a car to successfully flying a helicopter without strictly learning from simulations. Deep learning is a combination of mathematics and Neurobiology, the artificial intelligence science aims to project the human learning process on computers so that computers could learn and improve from experience. As mentioned earlier artificial intelligence science is based on how we learn, deep learning is accomplished by imitating human brain architecture. When the child a signal is transmitted from the child's eyes, ears, and hands to the brain, that signals reach the brain and begin their journey in the nodes, after reaching the final node the brain concludes to identify this new object by its characteristics illuminating, heat, and voice. For simplicity we assumed that the child only learns the object characteristics after pain and this is not true in real life learning process is always on and each aspect of the object will be learned in the precise second of the encounter.