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

4.9
stars
36,627 ratings
4,758 reviews

About the Course

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Top reviews

RK

Sep 02, 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.

AG

Jan 13, 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.

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4526 - 4550 of 4,709 Reviews for Convolutional Neural Networks

By Kanishka D

Dec 27, 2017

the assignment setup and graders are not updated after reporting issues several times which caused a great deal of frustration among students.

By Felix P

Nov 20, 2017

The last exercise it was a litle annoyng, it took me almost five days to figure out how to solve the face recognition because a grader fault.

By Serkan Ö

Jun 10, 2018

There were repeats in the videos🤔 Also the answers to quizzes are not visible. If these would have existed, 5 stars would be reasonable.

By Rüveyda K

Mar 17, 2018

Sometimes it was very difficult to understand lecturer because of his accent, but apart from that, assignments and lessons were helpful

By Stephen D

Mar 17, 2018

This course is pretty good. Some things are not explained as well as Prof. Ng typically explains things, especially in the last week.

By Carol S

Jul 19, 2020

The Neural Style Transfer notebook seems to have makes it difficult in the last panel to access the generated_image global variable.

By Jkernec

Jan 12, 2018

The assignments need to be reworked as they are quite confusing and the grading system is flawed especially for the last assignment.

By Jnana R D

Mar 13, 2019

More simple lectures with illustrations required and also graders need to fixed. Had a lot of time wasted because of buggy graders

By NEEL V

Jun 11, 2020

It has very less explanation about working of back propagation of convolution network,

plus it can explain YOLO in much better way

By Aoun L

May 29, 2018

The course is great but the assessments and grading is terrible, so many particularities and repetition that does not make sense.

By Sudhanshu D

Apr 09, 2018

Week 3, exercise 2 is very buggy. Couldn't have completed it without the discussion forum. Kindly fix it for the future learners

By Ankit R

Oct 07, 2019

Found it really difficult to submit programming assignments, at times the jupyter notebooks were not at all responsive.....

By Gowdhaman S

Apr 22, 2018

Course content was good but lack with hands-on projects. It would be really helpful if the team could add capstone project.

By vishwanathan r

Nov 16, 2017

There should be a way through which folks can download the entire zipped contents of the programming and also the lessons.

By Carmine M

Apr 12, 2018

Very interesting and with high quality material. It could be improved by adding more tutorials about the frameworks used.

By Corbin C

Jun 01, 2018

Poorly edited videos, poorly worded (bordering incorrect) quiz questions, buggy notebook. Good, useful content, though.

By Bence K

Jan 29, 2020

The content of the course was perfect. But the support for the issues and the feedback for the forum threads is awful.

By Siarhei K

Mar 28, 2018

For the YOLO part would be nice to have explanation for how to set up training set and train your own object detector.

By Junchen F

Jan 01, 2020

The homework portion of CNN is underwhelming. We are asked to play around the core algorithm but not the core itself.

By Claudio S T

Jan 15, 2018

The content of the course is a lot of fun. I loved this module. But unfortunately the grade engine wasn't work right.

By Martin N

Mar 17, 2019

The exercises are awkward - it is a lot of index juggling and I feel it does not help me understanding the "whys".

By Aditya M

Jun 21, 2020

The audio was not clear ( mostly was of low volume) at moments when the instructor was telling important points.

By Michal S

Apr 05, 2020

some videos weren't properly edited (repeated sentences).

I like the assignments but the machine was too slow.

By Rajib C

Mar 31, 2019

The Algorithms should have been touched in depth, so that we could learn and apply everything from scratch.

By James H

Dec 30, 2018

Great intro to CNNs - would be 5 star but downloading the support files to your own machine is such a pain.