OA
Sep 3, 2020
Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.
AG
Jan 12, 2019
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
By Sonia I B
•Jan 27, 2018
Very interesting course. I enjoyed it. Will review it again, as it provides a lot of useful information and fun applications.
By Chao ( Z
•Dec 19, 2017
It really helps me a lot in my research, because it is so efficient to pick up the knowledge I need by attending this course.
By José M H
•Nov 26, 2017
Loved this course. Andrew Ng made it so clear and practical that convolutional neural networks are no longer a mystery to me.
By Aman G
•Nov 26, 2017
Awesome course...Helped me a lot in understanding very difficult topics easily!!! Please continue making courses like this!!!
By Bohdan M
•Oct 30, 2022
Very interesting and useful. Basic ideas, intuition behind the machine and also references for further reading. Nice course
By Basil J
•Jul 27, 2020
A very informative and highly recommended course . It almost made me see the most complicated concepts seem extremely simple
By Nagaraj S M
•Jun 10, 2020
Assignments are really good. It would be nice if we had an opportunity to submit assignments in the framework of our choice.
By Eulier A G M
•Nov 29, 2019
Totally pleased of the pace of Andrew Ng and Assignment. Just make sure to really understand the core concepts before go on.
By Archit G
•Aug 5, 2019
This course on CNNs was a great learning experience with all the topics covered in length and the exercises were insightful!
By MANTU P
•Jun 13, 2019
First time I get interest to learn CNN after watching the second video of this course. It is very good to learn from basics.
By SetuServ
•May 6, 2019
Quality of content and assignments is really good. Gives good starting points for implementing complex models in tensorflow.
By Manpreet M
•Feb 19, 2019
Splendid course with extremely useful content and exercises. After this course you will definitely be comfortable with CNNs.
By Rajat G
•Apr 21, 2018
Very good and informative course. Course material and assignments are very informative. Thank you for this wonderful course.
By Jeff C
•Apr 8, 2018
I found it exciting to learn cutting-edge techniques and apply them. These courses continue to build rapidly on each other.
By Karl M
•Feb 20, 2018
Absolutely stunning, as one gets the opportunity to explore and apply quite recent research results like the YOLO algorithm.
By h_st
•Aug 1, 2021
I like the demonstration with the training that profound work on images can be understood and performed within a few hours.
By Nan T
•Aug 22, 2020
A big fan of Andrew! The course provides both a comprehensive overview of CNN applications and good practice on TensorFlow.
By Harsha K
•Jun 20, 2020
One of the base online course experience I ever had during my career. Arrangement and execution of the course is very well.
By Swapnil K
•Dec 29, 2019
That was really challenging one, the exercises were really good. Learned about new frameworks such as Keras and Tensorflow.
By Ashish A
•Nov 4, 2019
excellent. It would be better if in assignments, we have option to do under the hood methods such as loading the model etc.
By Djordje B
•Oct 26, 2019
The hardest one of the specialisation so far. I really liked the challenge, although I'm glad that TensorFlow 2.0 is out...
By Asaduddin A Z
•May 2, 2019
firstly, I know about CNN is from this course, the explanation is clear, combination between theory and practical is great.
By Mahesh
•Feb 13, 2019
Best course for computer vision engineers. Assignments gives us direct intuition on real world problems. Highly recommended
By William K
•May 7, 2018
Excellent course. Lectures are detailed and clear, and the programming assignments brilliantly support learning. Thank you!
By Jorge B C
•Jan 18, 2018
Very well structured course. Although the way Tensor Flow works in the exercises has been a little difficult to understand.