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

4.9
stars
39,705 ratings
5,253 reviews

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

RS
Dec 11, 2019

Great Course Overall\n\nOne thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

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.

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5026 - 5050 of 5,223 Reviews for Convolutional Neural Networks

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 8, 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 7, 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 15, 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 1, 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

Dec 31, 2019

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

By Claudio T

Jan 14, 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 5, 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.

By Tatsunari W

Mar 28, 2018

A great introductory course in CNN

A little too many hints and too much guidance on every coding assignment

By Ajeet M

Oct 7, 2020

I would like for the course to be a little bit more difficult as far as writing the programming exercises.

By Ritvik A

Aug 30, 2020

End of the course was not well structured. But the starting of the course was good and very well planned.

By Ifan W

Jan 24, 2018

Good Lecture overall, but the last assignments contain bugs that students were not supposed to figure out

By Bingcheng L

Jul 14, 2019

Not enough materials about the fundamentals about CNN, just a couple of implementation without details.