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 Ted T•
Lawrence's lectures were good, but exercises were disconnected from course material. Having to do exercises in Google Colab and then redo in Jupyter notebook was inefficient.
By Andrea B•
the topic is interesting, and the course is quite hands-on, but the treatment of the subject is extremely basic. Videos are too short and somehow superficial and incomplete
By Seif M M•
very good course, but think it needs to go deeper in the functions and tools in tensorflow for conv netwroks, i have the feeling that the course is somehow shallow.
By Adnan P•
It was a great course, but in my opinion, it could have been even better if it involved more concepts & APIs to explore apart from the most in-use TensorFlow APIs.
By Ethan V•
Solid content, but it feels like it's not *very* much on top of the first course in this specialization. I think these two courses could be combined into one.
By Madhav A•
The course is good for beginners as it is very basic. It needs more advance topics like Detection using TensorFlow. Have a lot of scope for improvement.
By Alejandro B G•
Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it
By ABHAS B•
The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.
By 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.
By Amit C•
Content is very limited.I wish they could have gone in-depth covered more areas of CNN like object detection ,segmentation etc
By Jingwei L•
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
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 Mohammed F•
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
By Aleksey 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 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 Sajal C•
Course is good however there can be programming assignments for better practice.