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!
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..
por ABHAS B•
The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.
por Ameya D•
This course is more of hands on activity in tensorflow. You need to have good understanding of CNN prior to doing this course.
por Amit C•
Content is very limited.I wish they could have gone in-depth covered more areas of CNN like object detection ,segmentation etc
por Jingwei L•
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
por 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.
por Marc-Antoine G•
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
por Samuel K•
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
por Daniel D•
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
por 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.
por Sailesh G•
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
por Daniel Y•
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.
por Mohammed F•
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
por Alexey V•
complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.
por Shubham A G•
Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.
por Frank W•
The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.
por Michael E•
Would like to have seen some information on techniques such as batch normalization and residual layers.
por Apichart L•
Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.
por Nahum P•
Final work had almost no connection to what you learned during the course.
Not enough hands on.
The knowledge taught in the course is over-simplified. The assignments are not well-designed.
por Geoff G•
The topics are explained very briefly.There is no in depth coverage of the mentioned topics
por Yu S C•
I dont think this course is very helpful in terms of price/how much you can learn.
por Sajal C•
Course is good however there can be programming assignments for better practice.
por Javier I R•
Great course, but the last exam was miles away from the things presented on it.
por Ashish J•
this could have been better if object detection and segmentation was a part of