Andrew Shin's honest review, Deep Learning with PyTorch Part 1: Mastering Basic Algorithms from A to Z course

Since I am not highly satisfied with the course, I will leave a somewhat naive review. The curriculum and the flow of the content itself are satisfying for a practice-oriented course. I previously took a theory-heavy course by this professor, and this one was much better. Although the mathematical explanations of the theories in the beginning were a bit disappointing, I took the course keeping in mind that this is not a deep learning mathematics class. However, (on a minor note) I am curious why certain English words used for variable or function names are often pronounced strangely during the lectures. (e.g., trial, criterion, prune, patience, etc.) More importantly, it is disappointing that the lecture upload error (incorrect audio) has still not been addressed. I need to access more in-depth deep learning content for my work, but because the response to these types of errors is so slow or non-existent, I am a bit hesitant about whether I should continue taking courses from this instructor. If these points are improved, I believe this could become a highly satisfying course.