RB
Mar 14, 2020
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..
JM
Sep 11, 2019
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.
By Marc-Antoine G
•Nov 13, 2019
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
By Kolpinizki S
•Nov 2, 2019
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
By Daniel D
•Mar 26, 2020
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
By David H
•Nov 16, 2019
Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.
By Daniel G
•Mar 26, 2024
It is too basic of a course. You should level up the difficulty and dive deeper into computer vision with TensorFlow.
By Shreenivas
•Dec 22, 2020
Good content. The coding and assignments need significant improvement. There is no support whatsoever in assignments.
By N V
•Aug 15, 2023
The assignments need a lot of work. They introduce obstacles not covered in the lectures and provide no explanation.
By Sailesh G
•Nov 2, 2019
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
By Daniel Y
•Feb 27, 2021
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.
By Mohammed F
•Jul 6, 2019
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
By Alexey V
•Nov 22, 2019
complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.
By Shubham A G
•Aug 25, 2019
Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.
By Frank W
•Jul 17, 2020
The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.
By Michael E
•Feb 14, 2020
Would like to have seen some information on techniques such as batch normalization and residual layers.
By Apichart L
•Jul 5, 2021
Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.
By Nahum P
•Sep 22, 2020
Final work had almost no connection to what you learned during the course.
Not enough hands on.
By ROSS
•Oct 15, 2021
The knowledge taught in the course is over-simplified. The assignments are not well-designed.
By Geoff G
•Aug 17, 2020
The topics are explained very briefly.There is no in depth coverage of the mentioned topics
By Yu S C
•Jun 26, 2021
I dont think this course is very helpful in terms of price/how much you can learn.
By Leon L
•Jan 11, 2022
Lectures are good but final exercises need to be updated and explained properly.
By Sajal C
•Mar 31, 2020
Course is good however there can be programming assignments for better practice.
By Javier I R
•Nov 15, 2020
Great course, but the last exam was miles away from the things presented on it.
By Ashish J
•Jul 3, 2020
this could have been better if object detection and segmentation was a part of
By Enyang W
•Nov 6, 2019
too easy! not much to learn actually. all the videos could be one lesson only
By vedansh s
•Sep 13, 2019
The concepts are not as clear as in other courses.
Dissapointed a little bit