This lecture can be helpful for both those who are new to the field of deep learning and those who want to review important concepts. For those who are new to the field, the lecture is well organized from the bottom up so that they can follow the flow by following the table of contents, and for those who are already in the field, it seems that they can quickly review the concepts that I was weak in. The lecture table of contents and internal structure seem to have captured the essential elements without unnecessary details. The structure and content are very clean. In addition, the lecture is well organized with content that would be of interest to those in the field. For example, - So what kind of logic is used for the internal operation? - So how do you implement it? I felt that these two were well differentiated. In fact, it is well-incorporated with empirical content that can be learned from the perspective of work performance, not just from the perspective of an instructor.