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

4.9
stars
42,484 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

JM

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.

AV

Jul 12, 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

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4426 - 4450 of 5,632 Reviews for Convolutional Neural Networks

By 雷后超

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Apr 21, 2018

很好很好

By Yicheng Y

•

Apr 5, 2018

BEST

By Bảo Đ

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Feb 28, 2018

Nice

By Nathan W

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Jan 27, 2018

Done

By Aaron Z

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Jan 23, 2018

good

By Цхондия Г А

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Jan 1, 2018

cool

By 孔昕

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Dec 14, 2017

清晰易懂

By blaze s

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Dec 13, 2017

nice

By skyfacon

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Dec 6, 2017

nice

By Pragadheeswaran S V

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Nov 27, 2017

Best

By 刘其波

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Nov 26, 2017

good

By Hugsy W

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Nov 5, 2017

good

By 华卓隽

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May 13, 2019

666

By Kaustubh D

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Oct 7, 2018

Wow

By 仇艺蒙

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Mar 24, 2018

100

By Sweta c

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Aug 23, 2020

ok

By Ming G

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Aug 26, 2019

gj

By Pham X V

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Nov 6, 2018

:

)

By Miguel Á G G

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Jul 30, 2019

.

By Gilles A

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Aug 1, 2018

V

By shuhaohe

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May 23, 2018

g

By Yujie C

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Feb 6, 2018

好

By Rich B

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Nov 28, 2017

G

By Александр В

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Nov 16, 2017

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By Ryan M

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Nov 16, 2017

Given the very high quality of Professor Andrew Ng's lectures, I wanted to give this five stars, and I have given his previous classes five stars for that reason. You truly do learn a lot from what he teaches!

Sadly I have to downrate this particular class due to huge technical problems with submitting Jupyter notebook based assignments. In particular, week 4's face recognition assignment was marred by several issues. For one thing, the grader would often crash and report technical issues instead of grading the assignment. For another thing, the grader would also take 30 to 60 minutes to run, which is far longer than it takes to actually run the Jupyter notebook itself! Finally, and quite seriously, in order to get 30/30 on the face recognition assignment of week 4, I had to submit an INCORRECT answer due to a bug in the grader itself. At least for me these are primarily week 4 issues.

This class is still a terrific value and a valuable course for anyone wishing to study deep learning, and I am planning to make good use of these lessons. But I do believe that especially for the face recognition assignment it would have behooved the developers to test the assignment thoroughly before making it available to students and also to correct the substantial quality problems (i.e. failing a correct answer and accepting a wrong answer along with grader crashes) involving the grader. I hope these programming assignment quality problems do not appear again in the fifth course on recurrent networks because I am very much looking forward to that particular course given some of the projects I work on!

I was torn on whether to give this three stars only or four stars but decided that given the overall learning value I am still giving it four stars. But again I do hope the developers are reading these reviews and also the discussion forums regarding the major quality issues involving the face recognition programming assignment. The other assignments were very good and did not pose such ridiculous issues (my experience only.)