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

4.9
stars
40,436 ratings
5,358 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.

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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4801 - 4825 of 5,334 Reviews for Convolutional Neural Networks

By Benjamin H D

Dec 11, 2017

Material is great as always, the audio could certainly be improved though

By Katharina E

Jan 9, 2021

Content is great, but the auto grader has issues costing a lot of time!

By Michael F

May 24, 2018

Programming assignments are too easy, consisting largely of copy&paste.

By Richard Y

Feb 25, 2018

Very good course. Just please fix the buggggggggy grader in the week 3.

By Pengbo L

Jan 24, 2018

The last assignment on triple-loss has the grader-error, which a couple

By Dino P

Jul 2, 2020

I'd have given it 5 if programming exercises were modified to use TF2.

By Ukachi O

May 10, 2020

A wonderful introduction and implementation to the concepts of CovNets

By Vamvakaris M

Sep 8, 2019

It required coding on keras and tensorflow not appropriete introduced.

By Emmanuel R

Jun 10, 2018

Very hard at week 2. Week 3 and Week 4 were very exciting. I liked it.

By Clay R

Feb 21, 2018

The grader could use some more debugging but otherwise excellent work.

By David P

Dec 6, 2017

Great course! Assignment notebooks could be a bit more challenging...

By Rafael G M

Jan 26, 2020

Good material.

I recommend explaining YOLO with more conceptual depth

By Jaisuthan A

Sep 2, 2020

Nice course. But we are not working on latest versions of Tensorflow

By Jinfeng X

Nov 12, 2019

Great content! It would be better if some missing slides were there.

By Earneet

Jul 23, 2019

Neural style transer part is hard to understand, the rest part easy

By Lin Z

May 7, 2019

interesting introduction materials on convolutional neural networks.

By Vishwanath N

Apr 22, 2020

Advanced and intense concepts. Great course to develop hard skills!

By Adrian H

Mar 26, 2020

Let down by a bit of video edit or lack of but another good course.

By Ranjan D

Aug 2, 2019

Great course for getting more inside of different CNN architectures

By Jiby N

Oct 28, 2018

More challenging assignments needed for more learning opportunities

By Haoran S

Mar 2, 2018

very good course, though confused by the grading of the assignments

By Joel G

Feb 15, 2018

Great material, but some confusion on the last programming exercise

By Ben B

Feb 6, 2018

Assignment grader needs to be updated. Great course, learned a lot.

By Andrey S

Dec 4, 2017

Great course! I give 4 instead of 5 because of the last assignment.

By Dhanashree P

May 4, 2018

Ability to train own network would improve the learning experience