What students say about the previous edition of the course
The good opinions
A lot of my classmates get a lot of help from the staff of this course. I think maybe you should be active and patient. In fact, every office hour Ben spent more time than it should be. Frankly speaking, I think this course is the best course in this hot AI field in CMU.
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No matter what I will watch the live stream and support you. You are the best education people I have met. I may be late for class but it do not mean I do not like this class.
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Although I didn't get into the A+ level I still learned a lot from this great project. I believe sharing and discussion will further enhance our understandings. Since a in-class show-and-tell will be too heavy weight for someone, I'm starting this thread to initiate an anonymous and voluntary "Reflection" activity.
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I love this class because it makes me realize how far I am from others. Other class, I do not know exactly my performance on homework but this class gives me a concrete idea of how far I am from other people.
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I must say I had a really great time training a NN and am loving the kaggle component. Thanks to the instructors and TAs for putting the hard work for making this happen.
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Hey instructors, So far, I've had a very good time learning throughout the course. The homework and quizzes are very challenging to me, but I also managed to learn a lot from it.
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The not so good opinions
The course has been great for me so far. But not so much for some of my friends who misjudged the workload in this and have taken other heavy courses. Maybe if every course in CMU had a workload rating on a scale 1-10 (with no background in deep learning, to me this course is a strong 9), it would help students make more informed choices based on their interests.
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Tuning and running models is the only thing I’ve been doing the last couple of days. And I’ve been way past the learning phase of the assignment. Am only doing it for the leaderboard now. Please please please release grade cutoffs.
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