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

4.9
stars
42,354 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

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

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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5551 - 5575 of 5,619 Reviews for Convolutional Neural Networks

By Vihar K

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Jun 6, 2018

Lectures are awesome, really inspiring and intuitive.Trouble with submitting assignments. I've solved the given question and resubmitted for almost six times, but the kernels showing up errors.

By Carlos K

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Jul 12, 2018

Horrible user experience with the "Jupyter Hub" constant issues that makes trying to do the exams an absolute nightmare and a perfect anxiety booster!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

By Dario d J B U

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Nov 15, 2019

In some tasks the delivery format is arbitrary and does not specify well what is wanted, that is, so the numerical value requested is good, the output is incorrect. due to format issues.

By Imtiaz Q

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Oct 10, 2024

Not as good as the other courses in this specialization series. Specially, everything in week 4 has been rushed too much, with limited explanation of some of the most complex topics!

By Aman B

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Jul 23, 2020

Programming part was not explained well. I guess programming syntax and flow of code should be explained too instead of just telling theory or focusing mainly on theory.

By Daryl V D

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Jun 19, 2018

TOO MANY BUGS IN THE EXERCISES.It was a dis-incentive. Really.And I love me some deeplearning.ai! It has been great. The videos and content structure are fantastic.

By Arsh P

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Dec 15, 2018

Though the videos were very good but the assignments require too much from us and also there are few mistakes in week 3 and 4 notebooks which take a lot of time.

By Yongseon L

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Jun 15, 2019

https://www.coursera.org/learn/convolutional-neural-networks/programming/IaknP/face-recognition-for-the-happy-house/discussions/threads/NcpP7i95EemJswr-eOHMNg

By mike v

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Jun 8, 2019

The content is excellent, but there were technical problems with the final homework assignment that were not addressed by staff in a timely manner.

By Sébastien C

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Aug 18, 2020

Content was interestind and provided good theoretical overview. Exercices where you just have to fill in some line of codes are not usefull.

By Joshua S

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Nov 29, 2019

Some of the code was incorrect and the guidance was often confusing. Visibly worse than the other courses in the specialization,

By Kristoffer M

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Nov 30, 2019

Don't feel like I understand these models much better than before. Still don't see the logic of the identity layers

By Prasenjit D

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Dec 6, 2017

Lots of problem with the grader. Wasted a lot of time grappling with grader issues. Very disappointed.

By Sandeep K C

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Dec 28, 2018

The quality of some of the graders e.g. IOU is poor. One cannot make out what exactly is it checking

By I M

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Oct 17, 2019

Disappointed by the quality of notebooks, which often disconnect and lose all the code you wrote.

By Shuhe W

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Jun 8, 2019

The course assignment parts have many errors, I have to fix it myself. That's silly.

By Bernard F

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Dec 13, 2017

Good content, but quite a bit of technical work is needed to present this better.

By Ryan B

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Jan 2, 2020

for goodness sake "your didn't pass the test" isn't feedback for notebook grades

By Coral M R

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Jun 7, 2019

Dificultades en la hoja de tareas de Face Recognition que deberían solucionar

By Jason K

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Dec 13, 2017

The content was good, as usual, but week 4's quiz was pretty buggy.

By Deleted A

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May 7, 2018

Good course but lots of technical issues with the assignments.

By Kishan M

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Feb 13, 2018

The notebooks were too simple. And the grader was not working.

By Stéphane P

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Mar 30, 2019

Videos are good, but exercises are really confusing

By chao z

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Feb 22, 2018

content good, but assignment is in poor quality

By hossein

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Jul 19, 2020

The structure of the assignments is not good