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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,065 ratings

About the Course

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

RK

Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

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.

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4676 - 4700 of 5,574 Reviews for Convolutional Neural Networks

By Shringar K

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Jul 28, 2019

Very nice and crisp explanations with hyperparameters , I wish he had explained the segmentation part and other image processing techniques in deep as well. Neverthless this is a 4.5 star deal !

By Brandon C

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Dec 9, 2018

If you are not yet familiar with Tensorflow, the programming assignments are much more tedious than necessary. However, the explanations of the theory are quite helpful in visualizing convolution

By Matthew W

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Jan 20, 2018

Some programming assignments do not have the same level of "finish" as the other deep learning / machine learning courses by the same instructor, but very good in-depth material that helps a lot.

By James B

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Nov 22, 2017

Great material, but the programming assignments feel like more of an exercise in figuring what the author is thinking than a challenge for me to learn the tools necessary to go do this on my own.

By Jinit M J

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Aug 8, 2019

The overall course was excellent. It's just that I wanted to learn some more real-life based applications of conventional neural network. Thanks a lot for this course. It was a great help for me

By Arjan H

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Jan 12, 2018

This specialization needs to have a guided challenging final project. The projects are spoon fed and great for learning. However, a certification should require a more challenging final project.

By Luciano N C

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Oct 4, 2020

This course is really great, the explanations are very clear and easy to follow. The lab environment uses a very outdated TensorFlow version, making it difficult to find official documentation.

By Ajitesh S

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May 10, 2020

There were some topics which were taught in last chapters, however, had they been in beginning could have given better understanding. Like 1-D 3-D conv, intuition about deep hidden layers etc.

By Wentao S

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Sep 16, 2018

Overall an excellent course, but some hints and guides of the assignments are not clear or misleading. If you work through them however, you will gain a lot (on how to implement these models).

By Johannes B

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Feb 10, 2018

As machine vision engineer, I was most curious for this one. And I haven't been disappointed. "Secrets" of convolutional architectures are revealed in a way that they are no more rocket scienc

By thomas m

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Dec 21, 2017

Would like to see more of an involved exercise for either keras or tensorflow, perhaps using tensorboard visualizations. Good introduction into CNNs and where the art/science currently stands.

By Sean K

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Nov 27, 2017

Some bugs to work out of the course content and I think the team should post the slides. The hands-on technical training is very good. I'm looking forward to implementing these in my own work

By Shawn

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Mar 31, 2020

Excellent course, hope it adds more instructions on tensorflow and keras. wasted a lot of times debugging programming exercise due to tensorflow functions and structures. but fun experience!

By PETER O

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Dec 2, 2019

The Deep Learning courses taught by Prof. Andrew Ng and his team have laid a solid foundation for me to kick start an interesting career in AI. Thanks to Coursera for this great opportunity.

By Camilo M

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Dec 17, 2017

Good course. Would have been great to see a little bit more of the history of how these filters or convolutional operators came about, and what is the mathematical motivation and properties.

By Yujie L

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Jul 22, 2019

The course is great, but it's almost impossible to learn in China without a vpn. Even if I got a VPN, I cannot connect to the jupyter notebook stably. And the course project is quite easy..

By Diwakar R

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Sep 4, 2018

The grader is not robust enough to find out if the code is correct. It fails for semantic differences (not errors) even when the correct output is obtained, the grader still grades is wrong

By Moustafa S

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Jun 22, 2020

the projects was not so helpful, even tho i learned by the end of course 5 that this is just the technical stuff, and the coding projects is in other coursers of specializations, so thanks

By dave

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Dec 11, 2017

Great content, intuition, and examples. Some of the logistics and technical components were a bit more glitchy than the previous courses in the specialization - but that's a very high bar.

By Ganesh M S

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Apr 12, 2018

The course content is very good. I faced some problem in the assignment section. Even though in all the sections I was getting the expected answers I was not able to pass the assignment.

By Arvin S

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Mar 10, 2018

A very comprehensional lesson about convolutional netwoks but there are some little problems of the programming exercises that some of the contents may not be right and not fixed on time.

By Ramiro C

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Feb 13, 2018

The course is great, it is a shame that the last assignment has a problem and I had to waste a lot of time trying to figure out what was happening until I found the problem in the forums.

By Samyak R J

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Oct 2, 2020

Great course for general concept understanding. Assignments are well structured although could be slightly more deep with lesser hints. (currently it seems easy with all the hints given)

By Farhad D

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Aug 24, 2018

I think they have presented the most possible content that doesn't make course boring or useless. I learned new things which learning them takes a considerable amount of effort and time.