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.
Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
By Jingwei L•
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
By 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.
By Marc-Antoine G•
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
By Samuel K•
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
By Daniel D•
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
By 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.
By Sailesh G•
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
By Daniel Y•
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.
By Mohammed F•
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
By Alexey V•
complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.
By Shubham A G•
Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.
By Frank W•
The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.
By Michael E•
Would like to have seen some information on techniques such as batch normalization and residual layers.
By Apichart L•
Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.
By Nahum P•
Final work had almost no connection to what you learned during the course.
Not enough hands on.
By Geoff G•
The topics are explained very briefly.There is no in depth coverage of the mentioned topics
By Yu S C•
I dont think this course is very helpful in terms of price/how much you can learn.
By Sajal C•
Course is good however there can be programming assignments for better practice.
By Javier I R•
Great course, but the last exam was miles away from the things presented on it.
By Ashish J•
this could have been better if object detection and segmentation was a part of
By Enyang W•
too easy! not much to learn actually. all the videos could be one lesson only
By vedansh s•
The concepts are not as clear as in other courses.
Dissapointed a little bit
By Wellington B•
need to watch Andrew Ng's course on deep learning before watching this one
By Alan K H S•
The final exercise its really unclear on instructions and tools to use