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.
AV
Jul 11, 2020
I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch
By Mahendri D
•Aug 5, 2018
wow, interesting topics! starting from building blocks of 2D convolution then branch off to many CV problems. thanks Andrew Ng, deeplearning.ai, Coursera for this awesome course
By Taegoo K
•Mar 27, 2018
This course is mandatory for those who wants to learn machine learning and especially who wants to build an awesome applications that use image processing based on big data set.
By Juan R C C
•Dec 10, 2017
Despite of some troubles in some assignments, I realize this is a great course. It gives a broad vision on deep learning convolutional NN applications in a good level of detail.
By dikshant g
•Dec 6, 2017
Content of the course and assignments are pretty good. Found some problem in submitting last week's assignments(read on discussion forum that coursera is working to resolve it).
By Pascal E
•Nov 15, 2017
This is a great course. Andrew Ng is a gifted lecturer. The course was well presented and the materials are easy to follow. I expect a similar lecture on reinforcement learning.
By Rustem Z
•Sep 24, 2023
I appreciate this great opportunity to learn from you while I couldn't get to study at Stanford as an international from a developing country, this is a dream come true for me!
By Shivam S
•Mar 17, 2021
wonderful course with well organized course content and assignments designed in a elegent manner, I learned a lot form this course as well as from deep learning specialization
By Akash G
•Dec 16, 2018
This course explains different CNN architectures, object detection, face recognition, neural style transfer in a very effective way; Great course to understand concepts of CNN
By Vijay A
•Mar 27, 2018
In his usual style, Andrew takes us into the world of Computer Vision. The main topics in the field are covered sufficiently which enables us to move on to more recent avenues.
By Dan B
•Mar 6, 2018
This is the computer science equivalent of the Feynman lectures. An introduction to the state of the art that is truly approachable and clear by one of the giants in the field.
By Hao X
•Aug 24, 2020
I really like the case studies with famous models as examples, that swiftly brings me to a very good overview what each different tasks can covnet contribute to. Great course!
By PUNEET S
•Jun 25, 2020
Before enrolling, i read the reviews that programs have many bugs. But as on June,2020 i didn't find any bugs. Everything is working fine. Good course to learn about Convnets.
By Arsalan J
•Apr 9, 2019
This Course will give you a brief to intermediate understanding about convolution network. You will then have to practice on different data sets to have a firm grip on ConvNet
By Hao D
•Apr 1, 2019
It's very useful, in this course, it show us not only the details of theory, but also many popular example of neural networks and algorithms! very good course, worth to learn.
By Nitin P
•Jan 16, 2018
Not only learned the concepts behind CNNs but also understood current important applications using CNNs. Thank you for explaining such complex topics in a fun and easy manner.
By João S
•Nov 26, 2017
Ver interesting. Great course. I've been learning Deep Learning for some time, this course had the best explanations that I have found. And Andrew Ng its just a great teacher.
By Sai G B A
•May 1, 2020
This is the most exiting course that i have taken in this specialization. I came know how to build many CNN models. Autonomous car driving most exited me in the whole course.
By antonino s
•Apr 11, 2020
Very interesting. More challenging and complex than previous courses in the same specialization. This course clarifies how CNNs could be really helpful in real world context.
By Sahan P
•Nov 27, 2019
Great Course. Goes in-depth about convolutional networks. And try to explain the state of the art model archetypes as well. (at even Dec 2019 these models are worth studying)
By Gilles P P
•Nov 4, 2019
As with previous courses, I really appreciated the teaching of Andrew: interesting, well explained, enjoyable, easy to understand even for a non natif English speaker as I am
By Adrian-Stefan U
•Jan 24, 2018
Excellent material and presentations!
The assignments are more challenging this time, so don't expect passing them too easily.
Looking forward to the next course in the series!
By Erik E
•Nov 4, 2017
This has been the best course in the deep learning specialization so far. There is a lot of content to digest, but it's broken down expertly by the lectures and assignments.
By Muhammad I
•Sep 25, 2022
This course is one of "the best resources" for learning the deep learning conceprs applied to convolutional Neural Networks. Highly recommended for the future aspirants !!!
By Jagruti P
•Aug 22, 2020
I really enjoyed the course a lot. Though I have done projects in Computer Vision from before, yet this course has a lot to offer. Learning never hurts. It's a great course.
By Yashovardhan S
•May 26, 2020
This course is amazing. This teaches about how the state-of-the-art Computer Vision systems work. This courses also teaches us how to implement these techniques in real life