Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
39,726 ratings
5,258 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.

Filter by:

5051 - 5075 of 5,228 Reviews for Convolutional Neural Networks

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.

By Carsten F

Jan 30, 2018

The course was good but waiting for the 5th part of the 5-part specialization for months is a pain.

By der b

Jan 28, 2018

Going from lecture to code is too sparse. Needs sample or pseudo-code that can be used as a guide.

By Kyusun J

Feb 11, 2021

Every Course is in youtube. Don't know why i paid for this. The programming exercises are oudated.

By Dylan R

Oct 20, 2018

Lecture editing and programming assignment quality start to go seriously downhill in this course.

By Alex H

Dec 13, 2017

The course is not ready for prime time: grader and exercise errors would make people bald. :)

By Håvard S

Dec 10, 2017

Lectures are brilliant - but the course is let down by issues with the programming exercises.

By Nagaraj R

Jan 23, 2019

Object detection chapter was too overwhelming and I wish Mr. Ng had dumbed it down a shade.

By Renato R d S

May 27, 2020

It will be very important an update, especially at week 1. A lot of commands are not used.

By Simeon S

Mar 1, 2020

Good overview over the materials, but there are a lot of clipping errors and typo's....

By Mohamed E

Dec 21, 2017

Needs to discuss more applications outside of image classification and computer vision.

By Chenming X

Nov 17, 2018

It is hard to understand the code and the training is limited in the coding homework.

By rudy F

Nov 23, 2017

course was good but server/grader bugs in the programming tests were demotivating...

By Paul H C

Oct 21, 2018

Really interesting from a theoritical standpoint but the exercise are too guided..

By Alan P

Dec 9, 2017

Too much bugs in program assignment and sometimes the instructions are not clear!!

By Tom B

Jul 24, 2018

programming assignments are of lower quality than previous sections of the course

By Maysa M G d M

Apr 28, 2018

I would like to see the implementation from scratch, not only pre-trained things.

By Ishan B

Jan 18, 2018

There were issues with the Coding Assignments. Lots of inconsistencies in grading

By Hair P

Jun 24, 2020

This course is great, but it DEFINITELY needs to be updated to Tensorflow 2.0

By Xiaohua Z

Jun 11, 2018

Terrible grading system waste u tons of time.The content itself is excellent.

By Shabnam M V

Jul 31, 2020

The explanations of the first 3 courses were better and easier to understand