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..
автор: Jingwei L•
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
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: Alexey 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: Apichart L•
Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.
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: Yu S C•
I dont think this course is very helpful in terms of price/how much you can learn.
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: Alan K H S•
The final exercise its really unclear on instructions and tools to use