A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
автор: Harri V•
Week 4 final assignment was quite bad, because there was new Python/Numpy stuff which was not covered at all in the course.
автор: Marc-Antoine G•
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
автор: Samuel K•
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
автор: Daniel D•
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
автор: David H•
Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.
Good content. The coding and assignments need significant improvement. There is no support whatsoever in assignments.
автор: Sailesh G•
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
автор: Daniel Y•
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.
автор: Mohammed F•
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
автор: Aleksey V•
complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.
автор: Shubham A G•
Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.
автор: Frank W•
The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.
автор: Michael E•
Would like to have seen some information on techniques such as batch normalization and residual layers.
автор: Nahum P•
Final work had almost no connection to what you learned during the course.
Not enough hands on.
автор: Geoff G•
The topics are explained very briefly.There is no in depth coverage of the mentioned topics
автор: Sajal C•
Course is good however there can be programming assignments for better practice.
автор: Javier I R•
Great course, but the last exam was miles away from the things presented on it.
автор: Ashish J•
this could have been better if object detection and segmentation was a part of
автор: Enyang W•
too easy! not much to learn actually. all the videos could be one lesson only
автор: vedansh s•
The concepts are not as clear as in other courses.
Dissapointed a little bit
автор: Wellington B•
need to watch Andrew Ng's course on deep learning before watching this one
автор: Aditya S•
Week 4 assignment has a faulty csv file. Labels not correctly loaded
автор: Joey Y•
The course seems to be getting more loose than the first course.
автор: Moustafa S•
the same problems with the auto graders, it's exhausting sadly
автор: Pranav H•
Coding exercises should be made compulsory and for the grade