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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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551 - 575 of 5,570 Reviews for Convolutional Neural Networks

By Armin F

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Apr 16, 2020

Excellent course on CNN concept, evolving architectures, and applications of classification, object detection, and image verification and recognition. Coding are fun. Student get to play with more packages and libraries.

By Rakesh G

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Aug 30, 2019

for me, Andrew's comments were most valuable part of the course.

the exercises are just right for introduction and to encourage learning and progress towards completing the course while not getting bogged down with detail.

By Andreea A

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Mar 3, 2019

The course has a lot of good content and the programming assignments are interesting. The course actually describes the various architectures of CNN's and the reasoning behind them. It still has some video editing issues.

By Wahyu G

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Apr 20, 2018

I learned a lot in this course. The course explains some papers in an easy-to-understand way. Really recommend it for those who wants to explore the world of deep learning. I learned a lot! Thank you deeplearning.ai team!

By Alex B

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Dec 6, 2017

Great overview of basic CNN concepts and history, with pointers to relevant articles.

On the downside the automatic grader for some assignments was not set up correctly, which caused unnecessary time waste and frustration.

By Samiul I

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Jun 30, 2020

Absolutely amazing course. Highly informative an nice explanation about convolution operations and CNN algorithms. Recommended for all beginners and intermediate levels who really want to know something deeper about CNN.

By Brynjólfur G J

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Nov 9, 2017

Some kinks in the video cutting of Andrew when he makes mistakes, but otherwise very good course. Didn't know anything about convolutions before and am fairly confident in my ability to at least read papers about it now!

By Marco M

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Apr 23, 2023

My favorite course in the specialization! Each week of lecture builds on the material covered in prior weeks. 8 programming assignments and quizes reinforce what is taught in lecture. Thank you so much to the DLAI team!

By mhreteabe t

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Aug 25, 2022

This is a great introductory course for anyone who is new to the world of conv nets. Andrew gives excellent intuitions about the concepts , which helped me to have a deeper understanding about the convloutional networks

By Jayashree V

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Aug 26, 2020

I really enjoyed learning online course on Convolutional neural network. Thanks for the great instructors for having made such a great learning content keeping in pace with the recent research papers in CNN.

Thank you.

By Sen C

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Dec 31, 2019

Discussion and reading on existing CNN architectures/frameworks was very interesting. Got to know a whole new collection of research and implementation in the field of CNN. And as always, Andrew NG is wonderful teacher.

By Christopher W

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Sep 6, 2019

The most challenging to date - but clearly expected. This course is fascinating and demonstrates the true power of Deep Learning with respect to things like Facial Recognition and Neural Style Transfer. Amazing stuff!

By Gianluca M

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Mar 16, 2018

That's what I came here for! Lots of applications on convolutional neural networks, with many ideas explained. As usual, I wished he would give us a little bit more details, but this is anyway a really brilliant course.

By Daniel B

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Jan 16, 2018

Best course I've ever taken on CNN's. I now feel confident to attempt building computer vision applications of my own. Thank you to everyone at the deeplearning.ai and Coursera teams for making this material accessible!

By Shravankumar S

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Jun 29, 2018

I'm on week 3 right now and have completed previous 3 courses. I'm loving it very much, assignments are proving to be very helpful as you have simplified the process by providing markdown comments :) Thank you soo much

By moataz c

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Feb 21, 2018

very informative i liked the learning style very much despite the system bug in garding i gave 5 stars because i encourge this Prof Andrew and his fellows to keep on the good work and provide more courses in the future

By Thomas B

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Dec 3, 2017

Fantastic course. I found the course material for CNNs and their applications to 1d and 3d models fascinating. The projects were challenging and informative. I am looking forward to the next course with RNNs and LSTMs!

By Lion L

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Jul 17, 2023

The best course to learn traditional CNNs for absolute beginners. In the mean time, I think adding more recent research on CNN can make this course even better. E.g., vision transformer has been a game changer in CNN.

By Matías L M

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Dec 4, 2017

The best course (at least of the four courses that I have already taken) in the Deep Learning Specialization. The topics are perfectly explained. The only problem is that the final assignment has a bug in the testing.

By Antonio C

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Apr 26, 2020

Like the pervious courses, Convolutional Neural Networks is very useful to get you in touch with the new upcoming neural networks architectures. I particularly enjoyed the last course on triple loss and neural style.

By Dharanidaran

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Mar 10, 2019

I gained the ability to read and understand research papers after taking this course. I you want to have a good course on Object Detection, Neural Style transfer, I would highly recommend this course.

Thanks Andrew.

By Elena B

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Nov 16, 2017

I really enjoyed the course. Thanks a lot for interesting and clear video material as well as for the exciting programming exercise. I have learned a lot and will hope to be soon applying this knowledge in my field.

By Janith G

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Oct 7, 2019

Excellent Course. Programming exercises are really useful as they are mostly based on real world work done by experts. Thank you Prof. Andrew for trying to distribute knowledge on deep learning for students like us.

By chee y

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Apr 22, 2019

Very detailed and thorough course on CNNs. The difficult concepts are presented in an easy to understand manner and the practical exercises allow you to gain a better understanding of using the various CNN networks.

By Cristina N

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Dec 22, 2017

Well taught course, especially for those who want to develop some computer vision application with deep learning. The exercises in this course are a bit more complicated than the other courses of the specialization!