
Deep Learning from Scratch
Anyone can carry out machine learning as long as they have data, thanks to various tools and libraries provided in recent several years. However, you cannot properly use the outputs of programs without knowing their meaning. It is necessary to understand the algorithms and theoretical bases of how the results were derived.
In this seminar, we are going to have a reading society of the book "Deep Learning from Scratch (4) - Reinforcement Learning" to study about theoretical bases of PD method, DQN, policy gradient method, etc.