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

4.9
stars
42,029 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

AG

Jan 12, 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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626 - 650 of 5,570 Reviews for Convolutional Neural Networks

By Seth B

Mar 11, 2020

One of the most interesting and challenging courses I've taken so far. The assignments for this course are awesome and practical, with great visuals. Style transfer and facial recognition are really cool!

By Weiran H

Feb 8, 2020

Again, good starter-level course. You can gain a big picture of CNNs through this course, but you have to do many others things before you can really do something with them. I will take CS231n after this.

By Dimitry I

Jun 25, 2019

Another great course in the in the Deep Learning specialization. Lots and lots of data is presented in small steps that make it easy to assimilate and apply. Thank you to Prof Ng and the rest of the team!

By ignacio v

Oct 5, 2018

Andrew Ng must be the best teacher in all the moocWorld !

Great course, great practices

We only need a Reinforcement Learning course from him and, thus, a Deep Reinforcement Learning to infinity and beyond!

By Frantisek H

Sep 4, 2020

Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.

By Hind A b

Mar 27, 2020

very informative course with real life applications. the explanation is very clear and i really enjoyed doing the practical assignments. the only downside is that choices on quiz is little bit confusing.

By Joaquin T

Mar 25, 2019

Superb course on CNN by Andrew Ng. Video lectures can be daunting at some points, mostly because of its dense theoretical content, though it provides a great background on how to start working with CNNs.

By Smriti P

May 10, 2018

It is definitely a must for people who are new in this field and are interested in Deep Learning field. Gives you an insight into how CNN actually works and how anyone could take it to further improvise.

By Abdullah A M

Dec 16, 2017

this is really deeeeeeep. among all 4 courses till now it seemed to be hardest one to me as well as most conceptual too. Thanks Andrew sir and Coursera for such a wonderful opportunity to learn about CNN

By Βασίλειος Ν

Jul 8, 2021

Very good course. You understand how convolutional neural networks work. The amount of code you need to write is relatively small, and so this does not make the course intimidating, and it flows easily.

By Pawel S

Aug 11, 2020

It is a great course, more interest than the previous in the specialization, but also more challenging. The best part of this courses are projects, face recognition is only one of the engaging projects.

By Octav I

Dec 23, 2018

Great lectures, really well explained, assignments have a good balance for such a hard topic. Maybe another short intro/ optional assignment on keras generic model/layers/activation approach could help.

By Simhadri M

Aug 18, 2018

Doing this course will help you understand the core concepts of CNNs clearly. Andrew has discussed most of the implementations that are widely used today. The Citation of papers and authors was helpful.

By Vitaly C

May 21, 2018

The course is great, very good try to present CNNs as good as possible. The assignments grader behavior sometimes is strange, I would like to ask to check it and fix to prevent learners unusual efforts.

By Jan Z

Jan 7, 2018

Awesome content, teaching very recent methods in an understandable way. Programming exercises are very well documented and fun to solve. Thanks for putting this course together deeplearning.ai, big fan!

By Alessio D M

Dec 9, 2017

A very good course. Not too technical, but it provides you the tools and overall understanding framework to dive deep into convnets. As any other Andrew Ng's courses, I highly recommend taking this one.

By Mariusz N

Feb 2, 2024

Exceptional! I could never have understood the underlying machinery solely through reading articles on the web, as I did by following this course. Andrew Ng is a godsend. I cannot appreciate it enough.

By Uğurcan A

Mar 21, 2022

I am here again 3 years later. This course is really great. Even though I have gained much experience in deep learning and computer vision. I still use Andrew's advices. Thanks for this great resource.

By Jianxu S

Jun 6, 2020

Another excellent course on deep learning of Convolution Neural Networks (CNN) widely used in computer vision, including easy to understand lectures and hands-on exercise with commonly used frameworks.

By Rooholla K

Mar 5, 2020

I found this course extremely constructive and it was so cool to participate in a course where the instructors had put the materials and the assignments just in a right and logical order of difficulty.

By Fotis T

Apr 7, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

By John J M

Sep 20, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

By Switt K

Oct 11, 2020

Andrew still teaches great!

The programming exercises sometimes have trouble with loading databases (sometimes takes like 10 minutes to complete loading), and the kernel sometimes crash for no reason.

By YANSKY

Sep 24, 2020

Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.

By Sergei B

Jul 16, 2020

For me personally it's the best course in Deep Learning specialization. Well structured, interesting projects, good examples! The only thing that could be better is to use Tensorflow 2 instead of 1.0