This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
創建者 Stanislav C•
Grader in the last assignment is wrong. It has been reported in the discussion forums several months ago and still hasn't been. Apart from that, great content
創建者 Jesus A F•
The course gives you a good introduction to NN. However, the grading is buggy, and the content rather superficial. It gives you a false sense of achievement.
創建者 Stefan M•
The homework assignments, compared to the other courses, where pretty low in quality. If these errors get corrected, I'd happily give this course 5/5 stars.
創建者 Mathias E•
Videos were mostly great!
Expected more of the written material (quizes, assignments, etc.), not the quality I would expect from something I've paid for...
創建者 Uddhav D•
Some issues regarding the submission of assignments and some minute mistake in the videos and assignment. Although great teaching by Andrew as always :)
創建者 Karol K•
Issue with triplet loss function shouldn't happen. I had to remove "axis = -1" in order to pass grader even though function had produced wrong answer!!!
創建者 Dmitry K•
There are a lot of issues with programming assignments grader (I've spent one hour to complete assignment and two days to make a grader to get it)
創建者 Roel H•
The programming assignments contain bugs. Also the jupyter notebook kept on shutting down thus slowing down the learning process quite a bit :-(
創建者 Kalana A•
Certain Parts are not that much clear. Specially like in the triplet loss function, until the coding was done the real procedure was not clear.
創建者 Kanishka D•
the assignment setup and graders are not updated after reporting issues several times which caused a great deal of frustration among students.
創建者 Felix P•
The last exercise it was a litle annoyng, it took me almost five days to figure out how to solve the face recognition because a grader fault.
創建者 Sergio B•
I enjoyed the courses but I would like more practice, maybe a different module or examples aimed to help you define and optimize our models
創建者 Serkan Ö•
There were repeats in the videos🤔 Also the answers to quizzes are not visible. If these would have existed, 5 stars would be reasonable.
Sometimes it was very difficult to understand lecturer because of his accent, but apart from that, assignments and lessons were helpful
創建者 Stephen D•
This course is pretty good. Some things are not explained as well as Prof. Ng typically explains things, especially in the last week.
創建者 Carol S•
The Neural Style Transfer notebook seems to have makes it difficult in the last panel to access the generated_image global variable.
The assignments need to be reworked as they are quite confusing and the grading system is flawed especially for the last assignment.
創建者 Jnana R D•
More simple lectures with illustrations required and also graders need to fixed. Had a lot of time wasted because of buggy graders
創建者 VORA N•
It has very less explanation about working of back propagation of convolution network,
plus it can explain YOLO in much better way
創建者 Aoun L•
The course is great but the assessments and grading is terrible, so many particularities and repetition that does not make sense.
創建者 Sudhanshu D•
Week 3, exercise 2 is very buggy. Couldn't have completed it without the discussion forum. Kindly fix it for the future learners
創建者 Ankit R•
Found it really difficult to submit programming assignments, at times the jupyter notebooks were not at all responsive.....
創建者 Gowdhaman S•
Course content was good but lack with hands-on projects. It would be really helpful if the team could add capstone project.
創建者 vishwanathan r•
There should be a way through which folks can download the entire zipped contents of the programming and also the lessons.
創建者 Carmine M•
Very interesting and with high quality material. It could be improved by adding more tutorials about the frameworks used.