I am not in the deep learning industry, but I work in the field of computer vision (rule-based). Since my company requires LLM and vision-related deep learning technologies, I have been studying these topics.
I have only completed about 40% of the course, but I felt compelled to leave a review now.
I have taken many deep learning courses, including those by famous and highly-rated instructors, but I haven't found any course as clean and clear as this one.
The best part is the quality of the lecture materials. The instructor recorded every single matrix calculation in Excel, which is incredibly helpful when reviewing. The Python code is also well-commented in many places.
The quality of the lectures themselves is excellent; the instructor reminds you of parts you might have forgotten, ensuring you don't miss anything. While most other courses show calculations once or twice and then move on, this course goes through the calculations together until the end, which provides great clarity.
It seems like the Q&A is monitored frequently, as I received immediate answers to my questions. The lectures seem to have been filmed this year, so it's great that they include a lot of the latest trends.
It feels like this course hasn't gained much word-of-mouth yet, but I highly recommend it to anyone who needs to study these topics.
