Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI
About the Course
Top reviews
FH
Jan 11, 2019
Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.
NK
Jul 10, 2024
Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!
1376 - 1400 of 5,639 Reviews for Convolutional Neural Networks
By MOTURU P B
•May 16, 2020
HANDS ON EXERCISES ARE VERY MUCH HELPFUL AND TEACHING THEM IN A CONVOLUTION MANNER HELPS US TO GRASP THINGS BEST.
By Bảo L H
•Mar 10, 2020
This is a very useful course! Thank you, professors, for giving me this opportunity to study!!! Thank you so much!
By Justin K
•Dec 12, 2018
Phenomenal course that gets you up to speed quickly understanding CNNs including being able to read the literature
By Fernando E L M
•Nov 4, 2018
Excellent training course. Clear and interesting content. A lot of interesting explanations of really good papers.
By tusheng w
•Apr 14, 2018
wonderful and useful, It helps me a lot when I try to familiar with face recogization, object detection and so on.
By Ivan T
•Mar 29, 2018
Yet another amazing course on Deep Learning. The most fun in the series so far. Looking forward o sequence models!
By Cristian D T
•Feb 3, 2018
Very complete and informative. I like the fact he uses real already tested high performance examples and models. l
By mohammad k
•Dec 11, 2021
The course is a great opportunity for whom are eager to expand their knowledge of deep learning (Deeper learning)
By César G C
•Jan 14, 2021
This is the best course of the specialization!
Well-explained theory and really interesting practical assignments.
By Leon S
•Oct 12, 2020
Great course that covers everything from the basics of ConvNets to real-world use cases such as Object Detection!
By Miguel J
•Oct 7, 2020
Excellent practical course that gives a good introduction and applications on the use of AI in images processing.
By Sanjay G
•Jul 25, 2020
Great course by Andrew Ng. Speechless!!.Even a child can understand this topic through his teaching.Great teacher
By RION L G S
•Jun 18, 2020
It was a wonderful computer vision course. However, little more tutorials on cv2 would have helped me learn more.
By Jean-François P
•Apr 16, 2020
Cours aux frontières de l'état de l'art et malgré cela il reste très compréhensible. Merci D'Andrew et son équipe
By Wagner R
•Dec 27, 2019
Very good material. In this course we study and implement many architectures and solve very interesting problems.
By Xiang L
•Dec 4, 2019
Nice computer vision deep learning course to helping people get in touch with real life deep learning application
By Julia C
•May 27, 2019
HW is very helpful to understand the lecture. I have to say that this course has a lot of information to digest.
By UNNIKRISHNAN
•May 26, 2019
EXCELLENT...Enjoyed Learning This Module...!!
I joined this course mainly for this knowledge and I got it !!
Thanks
By Fadi s
•Mar 4, 2018
Very well designed material. Provides a great entry point to understand state-of-the-art computer vision systems.
By Ben A
•Jan 1, 2018
I'd add more explanations and practical work with TensorFlow. Besides that it was a great course, very practical.
By Roger L S
•Nov 28, 2017
Very good content and explanations as usual, but some initial bugs found in some videos and assignments (which is
By Adrian B
•Nov 9, 2017
Great as usual !!! :) Thanks Andrew, you are really contributing in bringing AI into every house/device/company!
By Xavier A
•Feb 25, 2021
Great course! The course material is well structured and well presented. In addition, the labs are a lot of fun.
By Vanodhya W
•Jan 15, 2021
It was a great experience to explore the world of CNN. Thanks everyone and specially to the lecturer Andrew NG.
By Ricardo A J C
•Jul 25, 2020
Muy buen curso en el cual se aprenden de manera sólida las bases para las redes neuronales de análisis de imagen