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

4.9
stars
42,232 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

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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

YY

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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.

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1126 - 1150 of 5,600 Reviews for Convolutional Neural Networks

By 杨逸飞

Aug 31, 2018

Wu is the best teacher who teach AI in the world and i think if he provides the video detection knowledge for us, it would be much better

By Deepak S

Jan 10, 2018

Great course. Smooth transition from fundamental to advanced concepts. Assignments are fun and practical since it uses real world models.

By Erol Ç

Dec 6, 2017

It has helped to understand many cutting-edge networks and to understand basics of Tensorflow and Keras. So this course deserves 5 stars!

By Shervin A

Jul 25, 2021

My greatest appreciation and honor to Prof Andrew Ng and others who helped for providing this great course! I learned so much from it...

By Xingjian W

May 22, 2021

Fantastic Course! The fourth week programming assignment is hard to understand. Definitely need tough work to get passed in this course.

By Carlos G

Feb 12, 2021

Andrew, please improve your hand writing. The course is excellent, but sometimes had to do a big effort to understand what you put there

By Dong Z

Aug 16, 2020

This is a very challenging course with all the seemingly arbitrary applications. But Andrew and the crew makes it a lot easier to learn.

By Manuel A

May 5, 2019

Very in-depth but practical course. Assignments are challenging and very funny. Some Keras background (or paralell course) would be nice

By Carlos S

Oct 6, 2018

Felt it more challenging than the previous ones, but also the one I enjoyed the most. Great exposition on Convolutional Neural Networks!

By Kartikeya P

Jul 1, 2018

Great course! Concepts explained in a lucid and easy to grasp manner. I liked the assignments too, especially the one on YOLO algorithm.

By Darel J

Jan 10, 2018

Dr. Ng went really deep into ConvNets this time. Excellent course material and programming exercises that were challenging and worth it.

By Jie Z

Jul 9, 2020

It is a really good course for me since I only have a basic understanding of CNN. This course helps me to have a clear overview of CNN.

By 李子轩

Jan 21, 2020

感谢吴恩达老师带来的课程,这门课不仅仅使我对深度学习更加感兴趣.还让我想到了很多能够用其完成的一些事情. 课程虽然结束了, 但是有关于深度学习的学习才刚刚开始, 最后再次感谢吴恩达老师, 以及提供这个平台的coursera课程,让我在中国可以听到来自全世界的课程,谢谢!

By Renzo B

Oct 21, 2019

Very good course but needs to go deeper on some concepts like iou and how to train face recognition systems and nst models in practice.

By Philipp H

May 27, 2019

Overall a very comprehensive course that guides you into the the computational framework of convolutional neural networks step by step.

By Kai C

Feb 11, 2018

Through this course, I obtained the basic knowledge of CNN and played with several popular CNNs. This course is useful and interesting.

By Walter L

Feb 1, 2018

Interesting both for those familiar with CNNs and people who are not.

Good overview of such important architectures as ResNet, GoogLeNet

By Yousif M

Nov 4, 2020

More challenging that the previous courses, but really enjoyed getting through the assignments. Thank you everyone who worked on this.

By nagadithya a

Oct 12, 2020

may be its my last class with Andrew ,,, I hope its not though

Loved the course so much

Thank you team coursera , Andrew , and L4G solns

By Ssemambya O

Aug 27, 2020

This course is wonderful and amazing. It is understandable and has interesting projects that have great impact in real life scenarios.

By Shankar P

Aug 26, 2020

Truely expectional course - covers so much of concepts and ideas, practical tips, in a such a consumable manner. Thanks a ton Andrew.

By Jay S

Jun 13, 2020

A great way to introduce yourself to CNN. After taking the course, you will find yourself capable enough to explore the field further.

By Krishan S

Jun 4, 2020

Explaination by Mr.Andrew Ng is just amazing. Would love to see a course on traditional machine learning with implementation in python

By Dr. J P

May 31, 2020

It was a excellent learning experience. Andrew Ng has amazing way of putting complex concepts in simple way, which makes learning fun.

By Keisuke S

Apr 25, 2020

Great Material. Some code lines like the use of database.items() would be too difficult for programming beginners if there is no Hint.