THE DEFINITIVE GUIDE TO DEEP LEARNING

Besides efficiency bounds, learning theorists study enough time complexity and feasibility of learning. In computational learning theory, a computation is taken into account feasible if it can be done in polynomial time.In reinforcement learning, the surroundings is typically represented as being a Markov final decision method (MDP). A lot of reinf